VLM 前沿增量 · 2026-10¶
生成:
py -3.9 tools/watch.py --volume vlm --write|窗口 2026-06-11 ~ 2026-10-09(120 天)|词表 24 条|请求失败 0 条|新增 449 条
词表按 docs/04-VLM专题/05–07 三篇 分节。
读法(纪律 F 的镜像规则):TOTAL 是题摘层面的命中数,不是相关论文数。一条宽查询命中几百条不含任何信息,所以下表只列仓库尚未收录的条目。NULL 表示请求失败(429/超时),不是 0 命中;0 表示确实没有,但第一反应应当是怀疑查询措辞,换个提法复核后再下结论。
arXiv 的 all: / abs: 只覆盖题名/摘要/作者/注释,不覆盖全文。
去重范围是整仓:docs/、references/、mindmaps/、paper/ 下的 .md,加 README.md / CONTRIBUTING.md / code/README.md。paper/ 下的 _work*/ 取数缓存(json/xml/html/pdf)不算收录,故不计入——那里放的是原始查询结果,不是读过的文献。所以某条 ID 不在本表,只能推出整仓没写过,推不出"这个专题没有"。
(2026-10-08 修:paper/ 原先漏扫,加上 ID 正则不吃 v1 版本号后缀,两条合起来让 27 条早已在 paper/ 笔记里读过的论文被标成"新增"。三卷的台账互为已收录,故 <卷>-watch-*.md 一律排除。)
05 · 通用架构与视觉编码器¶
abs:"vision encoder" AND abs:"multimodal large language" — 命中 17,其中新增 17
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-07 | 2610.09440v1 |
Mixture of Layers: Dynamic Layer Routing for Visual Reasoning |
| 2026-10-04 | 2610.05413v1 |
A Strong Baseline for Evaluating Vision Encoders in Multimodal Large Language Models |
| 2026-09-30 | 2609.40361v1 |
Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis |
| 2026-09-28 | 2609.34977v1 |
SPIDER: Multi-Layer Semantic Token Pruning and Adaptive Sub-Layer Skipping in Multimodal Large Language Models |
| 2026-09-07 | 2609.07823v1 |
SAFIRE: Safety-Critical Benchmark for Fine-grained Fire and Smoke Understanding in Multimodal LLMs |
| 2026-08-30 | 2608.29802v1 |
Foundation and Multimodal Large Language Models for Face Presentation and Morph Attack Detection |
| 2026-08-28 | 2608.28312v1 |
AIM: Anchor Identity Features, Then Match for Multimodal Large Language Model Unlearning |
| 2026-07-27 | 2607.24743v2 |
ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding |
| 2026-07-20 | 2607.17806v1 |
PGN: Design and Implementation of a Vision-Language Navigation System Based on Pangu Multimodal Foundation Mod |
| 2026-07-13 | 2607.12112v2 |
Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning |
| 2026-07-13 | 2607.11562v1 |
MonkeyOCRv2: A Visual-Text Foundation Model for Document AI |
| 2026-07-08 | 2607.07673v1 |
MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models |
| 2026-07-07 | 2607.05880v1 |
Harrison.Rad 1.5 Technical Report: A radiology foundation model that can draft reports from images, priors and |
| 2026-07-01 | 2607.00416v1 |
DroneIQA-VLE: Multi-Task Drone Image Quality Assessment via Vision-Language Ensemble |
| 2026-06-23 | 2606.25084v1 |
Are We There Yet? Exploring the Capabilities of MLLMs in Assistive AI Applications |
| 2026-06-22 | 2606.23885v1 |
Mind the Heads: Topological Representation Alignment for Multimodal LLMs |
| 2026-06-13 | 2606.15134v1 |
Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings |
abs:"connector" AND abs:"multimodal large language" — 命中 1,其中新增 1
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-09-18 | 2609.21675v1 |
DRT: Dense Reasoning Trace for Efficient and Grounded Multimodal Reasoning |
abs:"SigLIP" — 命中 43,其中新增 30(只取了最近 30 条,新增数是下界)
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-01 | 2610.02148v1 |
Omni-Embed-Mini: Binding Modalities Without Forgetting via Dense Distillation |
| 2026-09-30 | 2609.39625v1 |
D-Scope: Decomposing and Steering Diffusion Transformers with Sparse Autoencoders |
| 2026-09-29 | 2609.37685v2 |
PAIQ: Patch-Aligned Semantic Injection via Residual Rotation |
| 2026-09-28 | 2609.36101v1 |
One Geometry, Different Outcomes: Readout-Dependent Effects of the Modality Gap in Vision-Language Models |
| 2026-09-28 | 2609.35470v1 |
Representation Risk in Pretrained Image Encoders |
| 2026-09-27 | 2609.34021v1 |
Position Aware Layer Queries for Test Time Training in Vision Language Models |
| 2026-09-27 | 2609.33359v1 |
When Does Geometric View Synthesis Help Wine Label Retrieval? A Public One-Shot Benchmark Across Self-Supervis |
| 2026-09-23 | 2609.28857v1 |
MEVL-STP: Multi-Encoder and Vision Language Model for Arbitrarily Shaped Scene Text Spotting |
| 2026-09-22 | 2609.27142v1 |
MINER: Multi-crop INference-time Enhancement for Rare-Object Retrieval with Frozen Dual Encoders |
| 2026-09-09 | 2609.10224v1 |
UOT-Gap: A Variational Principle for the Modality Gap in Vision-Language Models via Unbalanced Optimal Transpo |
| 2026-09-07 | 2609.07937v1 |
TDDN: Text-aligned Diffused DINO Network for Puzzle Understanding |
| 2026-09-02 | 2609.03085v2 |
Solving the Needle-in-a-Haystack Problem in Mammography Vision-Language Model with Differentiable Subset Sampl |
| 2026-08-30 | 2608.29974v1 |
SpanCalib-VLM: Calibrated Hallucination Span Detection in Vision-Language Models |
| 2026-08-29 | 2608.29395v1 |
GATE: Reliability-Gated Gaussian Evidence Fusion for Training-Free Test-Time Adaptation of Vision-Language Mod |
| 2026-08-28 | 2608.28316v2 |
Conditional Visual Evidence Utility: State-Dependent Rank Reversals in Frozen Vision-Language Encoders |
| 2026-08-25 | 2608.24133v1 |
PlaceSeek: Human-Centered Geospatial Retrieval of Urban Outdoor Places via Semantic Grounding and Affective Al |
| 2026-08-24 | 2608.23484v1 |
Multi-Modal Semantic Expansion with Constrained LLM Reranking for Conversational Music Recommendation |
| 2026-08-23 | 2608.23634v1 |
The Blending Ratio Is Not Where the Performance Is: Diagnosing Prototype Blending for Few-Shot Adaptation of V |
| 2026-08-21 | 2608.20988v1 |
Jacobian-guided Noise Injection for Quantization Robustness in Large Language Models |
| 2026-08-19 | 2608.19376v1 |
Does Marginal Coverage Guarantee Class-Conditional Safety for Zero-Shot VLMs Under Shift? |
| 2026-08-19 | 2608.21443v1 |
Text-Guided Visual Dependency Graph Learning with Cross-Modal Attention Priors |
| 2026-08-19 | 2608.18591v1 |
Can a Lightweight Multimodal Model Estimate LLM Reasoning Performance? A Study for Compute-Optimal Document In |
| 2026-08-17 | 2608.16690v2 |
AnchorScore: A CLIP-Based Diagnostic of MLLM Annotation Difficulty |
| 2026-08-17 | 2608.16975v1 |
Margin-Regularized Structured Semantic Alignment for Brain-Language Correspondence |
| 2026-08-17 | 2608.16263v1 |
Seeing Before Answering: Training-Free Visual Layer Profiling for Vision-Language Models |
| 2026-08-17 | 2608.16234v1 |
GaussianDWM++: Language-Grounded 3D Gaussian Driving World Model for Unified Scene Understanding, Editing, and |
| 2026-08-17 | 2608.16962v1 |
Clinical Pathways Matter for Multimodal Deep Learning in Early Alzheimers Disease Detection |
| 2026-08-11 | 2609.26168v1 |
TRACE: Transparent Retrieval for Abstract Concept Evaluation |
| 2026-08-09 | 2608.08477v5 |
VectraYX-Vision-1B: A Sub-2B Spanish/LATAM Cybersecurity Vision-Language Model, and What Limits Its Visual Gro |
| 2026-07-28 | 2607.25842v1 |
Adversarial Deepfake Generation and an Investigation of Purification-Based Adversarial Detection |
abs:"visual token" AND abs:"multimodal" — 命中 144,其中新增 30(只取了最近 30 条,新增数是下界)
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-06 | 2610.07984v1 |
Decide Before You Look: Learning Which Retrieved Memories Deserve Pixels |
| 2026-10-06 | 2610.07572v1 |
Two Vectors Replace In-Context Demos: Structured Task Adaptation via Embeddings |
| 2026-10-04 | 2610.05097v1 |
ReMAP: Restoring the Perceptual Cycle with Reasoning-Time Latent Visual Memory |
| 2026-10-03 | 2610.04225v1 |
FlashGaze: Training-Free Multi-Scale Patch Pruning For Efficient Video Understanding |
| 2026-10-02 | 2610.03400v1 |
Beyond Entropy: Self-Diagnostic Multi-Role Token Optimization for Video Reasoning |
| 2026-10-02 | 2610.03822v1 |
Beyond Token Accuracy: Prioritizing What Matters for Visual Reconstruction |
| 2026-09-30 | 2610.00623v1 |
HAWK: Rethinking Multimodal Drafting for Speculative Decoding |
| 2026-09-30 | 2609.39924v1 |
CoVisco: Codec-Native Vision Encoder with Native Token Compression for Unified Image-Video Understanding |
| 2026-09-30 | 2609.38823v1 |
DecoMoE: Decoupling Visual Propagation and Expert Computation for Efficient Multimodal MoE Inference |
| 2026-09-29 | 2609.38485v1 |
Beyond Layers: Position-Resolved Gradient Conflict and Position-Aware Modulation for Unified Multimodal Models |
| 2026-09-29 | 2609.37225v1 |
ResComEmb: Effective and Efficient Multimodal Embedding via Residual Homogeneity Compression |
| 2026-09-29 | 2609.37096v2 |
Why MLLMs Struggle to Count: Overcoming Individuation and Aggregation Bottlenecks with ConvStack |
| 2026-09-29 | 2609.37052v1 |
OmniRoute: Mapping Temporal Semantic Evidence to Audio-Visual Token Budgets for Efficient Omnimodal Large Lang |
| 2026-09-29 | 2609.36916v2 |
Representation Dynamics Reveal Semantic Saliency and Similarity for Visual Token Pruning in MLLMs |
| 2026-09-29 | 2609.36782v1 |
Decoding Affective Nuances: Enhancing MLLMs via Hierarchical Emotion Reasoning and Contrastive Discriminative |
| 2026-09-28 | 2609.36145v1 |
From Sharp Eyes to Expert Mind: Internalizing Expert Knowledge in MLLMs for Tampered Text Detection |
| 2026-09-28 | 2609.35457v1 |
How Far Are We from Removing the Visual Encoder? Scaling Laws for Encoder-Free Multimodal Pretraining |
| 2026-09-28 | 2609.34977v1 |
SPIDER: Multi-Layer Semantic Token Pruning and Adaptive Sub-Layer Skipping in Multimodal Large Language Models |
| 2026-09-28 | 2609.34972v1 |
Just MLPs: Efficient Visual State Reconstruction for Multimodal Language Models |
| 2026-09-28 | 2609.34942v1 |
Resolution as a First-Class Decision: Task-Conditioned Routing for Efficient Multimodal Large Language Models |
| 2026-09-28 | 2609.34867v1 |
P4Q: Co-designing Token Pruning and Quantization for Vision-Language Model Acceleration |
| 2026-09-28 | 2609.34408v1 |
Distilling Visual Reasoning into Text Space |
| 2026-09-28 | 2609.34330v2 |
MiCo: Mutual Information Coverage Optimization through Semantic Erasure Modeling for Efficient MLLM Inference |
| 2026-09-28 | 2609.34196v1 |
ConvCue: Complementary Visual Inductive Biases for Vision-Language Models |
| 2026-09-27 | 2609.33518v1 |
SceneScaffold: Active Scene-State Construction for Unified 3D Scene Understanding |
| 2026-09-26 | 2609.32353v2 |
Fewer Tokens, More Self-Teaching: On-Policy Self-Distillation for Extreme Visual Token Reduction |
| 2026-09-26 | 2609.32333v1 |
Progressive-View On-Policy Distillation for Regional-to-Global Transfer in Multimodal LLMs |
| 2026-09-25 | 2609.30783v1 |
Skip the Talk, Re-Focus on Vision: Latent Reasoning for Reasoning Segmentation in Multimodal Large Language Mo |
| 2026-09-24 | 2609.30210v1 |
The Alignment Illusion in Multimodal Large Language Models |
| 2026-09-24 | 2609.29940v1 |
Mind What Matters for Reasoning: Aligning Cross-Modal Attention via Selective Probability Mass Concentration |
abs:"native resolution" AND abs:"vision-language" — 命中 5,其中新增 5
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-06 | 2610.07729v1 |
Foveated Compression: Selective High-Resolution Preservation for Token-Efficient VLMs |
| 2026-10-03 | 2610.04318v1 |
Rethinking Long-Video Efficiency: A Joint Allocation Perspective on Frames, Pixels, and Front-End Latency |
| 2026-09-18 | 2609.21712v2 |
ZYT-World: A Real-Time Controllable World Model for Closed-Loop Autonomous-Driving Simulation |
| 2026-09-09 | 2609.13287v1 |
LLaDA-UI: Bringing Block-wise Diffusion to Vision-Language GUI Agents |
| 2026-06-18 | 2606.20523v2 |
SARLO-80: Worldwide Slant SAR Language Optic Dataset 80cm |
abs:"contrastive" AND abs:"vision-language" AND abs:"pretraining" — 命中 42,其中新增 29(只取了最近 30 条,新增数是下界)
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-09-30 | 2609.39924v1 |
CoVisco: Codec-Native Vision Encoder with Native Token Compression for Unified Image-Video Understanding |
| 2026-09-30 | 2609.38989v1 |
Cue the Flow: Steering Flow-Matching Policies for Open-World Delivery Manipulation |
| 2026-09-28 | 2609.34944v1 |
Adjoint Guidance Flow: Amortized Critic Guidance for VLA Policies |
| 2026-09-28 | 2609.34826v1 |
WM-VLM: Probing Internal World Models for Interleaved Visual-Textual Reasoning |
| 2026-09-28 | 2609.34479v1 |
SentZero: An Enhanced Sentence-Centric Vision-Language Pretraining for Multi-Task Zero-Shot Chest X-Ray Analys |
| 2026-09-28 | 2609.34206v1 |
WorldGuide: Learning Success-Failure Boundaries in Latent World Models for Vision-Language-Action Policies |
| 2026-09-26 | 2609.32582v1 |
Cool Embeddings: Predicting Galaxy Cluster Cooling Times in IllustrisTNG and TNG-Cluster with AstroCLIP |
| 2026-09-26 | 2609.32108v1 |
SAMBAR: Selective Anchoring via Method of Multipliers for Balanced Knowledge Acquisition and Retention in Visi |
| 2026-09-25 | 2609.31985v1 |
Does Vision-Language Pretraining Granularity Matter? A Controlled Evaluation of Vision-Language Objectives Acr |
| 2026-09-24 | 2609.29156v1 |
Med-AR: Autoregressive Vision-Language Pretraining for Long-Tailed Chest X-Ray Classification and Uncertainty- |
| 2026-09-17 | 2609.20648v2 |
SkipVLA: Skipping VLA Steps with Classical Planning for Fast Robot Manipulation |
| 2026-09-15 | 2609.16664v1 |
Bridging the Perceptual Gap: Residual-Enhanced Downscaling and Manifold-Aware Perception Alignment Adaptation |
| 2026-09-11 | 2609.12454v1 |
Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Imag |
| 2026-09-10 | 2609.12035v2 |
Reading the Whole Heart: Latent-Attention Masked Autoencoders for Multimodal Cardiac Representation Learning |
| 2026-09-04 | 2609.05583v1 |
An overview of 3D Vision-Language Models |
| 2026-09-03 | 2609.03391v2 |
Exploring the Potential of Contrastive Language-Image Pre-training for Multi-Source Remote Sensing Data |
| 2026-09-02 | 2609.03085v2 |
Solving the Needle-in-a-Haystack Problem in Mammography Vision-Language Model with Differentiable Subset Sampl |
| 2026-09-01 | 2609.01757v1 |
AlphaRAD: Grounded Zero-Shot Classification in Chest Radiology via $α$-Corrected Binary Cross Entropy and Fact |
| 2026-08-31 | 2609.00411v1 |
Unmasking Face Embeddings: Reading, Rendering and Naming with Foundation Models |
| 2026-08-26 | 2608.25701v1 |
Skeleton-based Zero-Shot Spatio-Temporal Action Localization via Weakly-Supervised Pretraining |
| 2026-08-16 | 2608.15456v1 |
AlignJEPA: Predictive Vision-Language Alignment for Remote Sensing Foundation Models |
| 2026-08-11 | 2609.26168v1 |
TRACE: Transparent Retrieval for Abstract Concept Evaluation |
| 2026-08-06 | 2608.05960v1 |
Big, Bright, or Invisible: A Frozen-Feature Benchmark of 3D CT Foundation Models |
| 2026-08-05 | 2608.05389v1 |
Text-Guided Refinement of Multi-sequence Glioma Subregion Segmentation with a Vision-Language Foundation Model |
| 2026-07-31 | 2608.00279v1 |
Learning to See Locally and Align Clinically with Pathology Semantics for Radiology Report Generation |
| 2026-07-31 | 2608.00231v2 |
Learning How Much, Not Just What: Cross-Patient Burden Order for CT Vision-Language Pretraining |
| 2026-07-29 | 2609.17572v1 |
Disentangling Algorithmic Bias from Archival Artifacts: A Controlled Audit of Vision-Language Model Valuation |
| 2026-07-25 | 2607.23271v1 |
What CLIP Knows but Cannot Say: Recovering Negation from Frozen Intermediate Features |
| 2026-07-24 | 2607.21970v1 |
TextSLIP: Text Self-Supervised CLIP for Medical Report Generation |
06 · 指令微调与对齐¶
abs:"visual instruction tuning" — 命中 8,其中新增 8
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-09-05 | 2609.05885v1 |
One Rate Is Not Enough: Adaptive Anisotropic Learning Rates for LoRA Fine-Tuning |
| 2026-08-31 | 2608.30209v3 |
DICS: Exploring Data Intrinsic Consistency for Visual Instruction Selection |
| 2026-08-27 | 2608.26820v1 |
LLaVAFlow: Preserving Latent Alignment Flow for Parameter-Efficient Multimodal Fine-Tuning |
| 2026-08-10 | 2608.09907v1 |
DistMoE: Private-data Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning |
| 2026-08-03 | 2608.01635v1 |
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning |
| 2026-07-29 | 2607.26596v1 |
Decoupled Visual Processing: Efficient Multimodal Adaptation via Modality-Specific Transformer Substitution |
| 2026-07-01 | 2607.00465v1 |
StochasT: Learning with Stochastic Turn Depth for Visual Instruction Tuning |
| 2026-06-17 | 2606.19100v5 |
AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model |
abs:"LoRA" AND abs:"vision-language" — 命中 86,其中新增 30(只取了最近 30 条,新增数是下界)
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-07 | 2610.10163v1 |
Beyond Anonymous Captions: Grounding Character Identity in Video Captioning and Question Answering |
| 2026-10-07 | 2610.09940v1 |
Juno: Taming Predictive Latents for Vision-Language-Action Models |
| 2026-10-05 | 2610.06184v1 |
Arm-wise Compositional Generalization in Dual-Arm Vision-Language-Action Models |
| 2026-10-01 | 2610.02388v1 |
Octrees as an Explicit 3D Language |
| 2026-10-01 | 2610.02148v1 |
Omni-Embed-Mini: Binding Modalities Without Forgetting via Dense Distillation |
| 2026-09-30 | 2609.39820v1 |
Learning from Runtime Feedback through Failure-Bank Self-Evolution for Vision-Language-Action Models |
| 2026-09-29 | 2609.38391v1 |
Team MSU GenText-Forensics Challenge 2026 Technical Report |
| 2026-09-29 | 2609.36492v1 |
Benchmarking Vision-Language Models on Synapse Detection and Proofreading in Connectomics |
| 2026-09-28 | 2609.34968v1 |
RoboFL: Federated Expert Assembly for World Action Models |
| 2026-09-28 | 2609.34561v1 |
Brain-Conditioned Action Policies for Neural Motor Decoding |
| 2026-09-27 | 2609.33694v1 |
Seeing and Solving Are Not Enough for Vision-Language Models |
| 2026-09-27 | 2609.33158v1 |
FOCUS: Benchmarking Retinal Model Generalization from Foundation Vision Encoders to Multimodal LLMs |
| 2026-09-27 | 2609.33125v1 |
Train Together or Merge Later? Unifying VLA Experts via a Shared Action Interface |
| 2026-09-27 | 2609.33082v1 |
SemReward-VL: Semantic Reward-Guided Video-Language Adaptation for Developmental Behavior Assessment |
| 2026-09-25 | 2609.31450v1 |
From Reward Signal to Visual Utility: A Controlled Audit of Medical VLM Post-Training |
| 2026-09-21 | 2609.24334v1 |
Multitask Jet Analysis with Vision-Language Models: A Physics-Informed Four-Panel Representation |
| 2026-09-21 | 2609.24198v1 |
SKstars at SHROOM: Visions Agreement-Guided Ensembling of Zero-Shot and LoRA-Adapted Vision--Language Models |
| 2026-09-20 | 2609.23655v1 |
Reassessing Global Gradient-Norm Imbalance in BLIP Fine-Tuning Across Physical Domains |
| 2026-09-19 | 2609.23012v1 |
CrowdCue: Specialist-Cue Conditioning for Vision-Language Crowd Counting |
| 2026-09-19 | 2609.22925v1 |
"Dear LLaVA, Please Drive": A Depth-Aware Vision-Language Agent for Closed-Loop Robotic Control |
| 2026-09-16 | 2609.18860v2 |
Decodable but Misrouted: Sparse Features Uncover a Readout Gap in Vision-Language Models for Harmful Meme Dete |
| 2026-09-16 | 2609.18084v2 |
Not All Layers Need Tuning: Diagnosing and Directing Adaptation in Vision-Language-Action Models |
| 2026-09-15 | 2609.16486v1 |
VPRef: A Cross-Domain Benchmark for Referring Remote Sensing Image Segmentation |
| 2026-09-14 | 2609.15603v1 |
A Unified Vision-Language Model for PSMA PET/CT Report Generation, Visual Question Answering, and Lesion Segme |
| 2026-09-14 | 2609.15229v1 |
Pre-PEFT Probing: Weight Statistics and Perturbation Robustness for Layer Selection in VLM Vision Encoders |
| 2026-09-13 | 2609.14523v1 |
Selective Tool Use for Agentic Change Visual Question Answering in Remote Sensing |
| 2026-09-13 | 2609.14350v1 |
Two-Stage Mixture-of-LoRA for Multi-Task Medical Vision-Language Learning |
| 2026-09-13 | 2609.14284v2 |
Vision-Language Models for Criterion-Level Grading of Handwritten Examinations in Outcome-Based Education |
| 2026-09-10 | 2609.11310v1 |
Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Lan |
| 2026-09-08 | 2609.08188v1 |
Bridging the Semantic-Utility Gap in Multimodal RAG via Generator-in-the-Loop Alignment |
abs:"instruction tuning" AND abs:"multimodal" — 命中 49,其中新增 30(只取了最近 30 条,新增数是下界)
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-09-29 | 2609.37889v1 |
ReCAP: Retrieval-Guided Capability Reuse for Multimodal Continual Instruction Tuning |
| 2026-09-29 | 2609.37283v1 |
SAM Meets VLM: Parameter-Decoupled Full-Parameter Training for Unified Medical Reasoning and Segmentation |
| 2026-09-28 | 2609.36121v1 |
Render Before Reading: Visual Rendering as a Prompt Injection Defense |
| 2026-09-17 | 2609.20325v1 |
AgriScope: Pixel-Grounded Multimodal Understanding for Agricultural Images |
| 2026-09-12 | 2609.13742v1 |
Hyper-LLaVA: Hyperbolic Uncertainty-aware Modality-Balanced Routing for Multimodal Continual Instruction Tunin |
| 2026-09-01 | 2609.00654v1 |
SciTrue: Reliable Scientific Claim Validation with Frontier and Open Language Models at the NTCIR SciClaimEval |
| 2026-08-30 | 2608.29661v1 |
OmniClimate-TC: Physics-Aware Visual Abstractions for Multimedia Reasoning over Tropical Cyclones |
| 2026-08-29 | 2608.29088v2 |
HANIA: Planner-Guided Multimodal Graph Evidence Selection for Grounded Question Answering |
| 2026-08-28 | 2608.27867v1 |
CoRe-MoE: Compact Reusable MoE for Continual Multimodal Instruction Tuning |
| 2026-08-27 | 2609.25040v1 |
BananaVLM: A Domain-Adapted Vision Language Model for Banana Crop Disease Diagnosis |
| 2026-08-27 | 2608.26820v1 |
LLaVAFlow: Preserving Latent Alignment Flow for Parameter-Efficient Multimodal Fine-Tuning |
| 2026-08-25 | 2608.25198v1 |
Tunable Tool-Call Rates in LLM Agents via Representation Steering |
| 2026-08-16 | 2608.15516v1 |
UniFed-VLM: Federated Instruction Tuning for Vision-Language Models with Multiple Heterogeneity |
| 2026-08-14 | 2608.14198v1 |
MINT: A Universal Zero-Shot Predictor for Transaction Data |
| 2026-08-10 | 2608.09907v1 |
DistMoE: Private-data Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning |
| 2026-08-08 | 2608.08107v1 |
NeuPAT: Neuron-aware Plasticity Allocation Tuning for Language-Preserving MLLMs |
| 2026-08-06 | 2608.06246v1 |
A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance |
| 2026-08-06 | 2608.05691v1 |
SciQNet: Two-Stage Multimodal Adaptation for Scientific Image Quality Assessment |
| 2026-08-03 | 2608.02790v1 |
Confident but Unreliable: A Behavioral Safety Audit of Vision-Language Models on Brain MRI |
| 2026-08-03 | 2608.01635v1 |
Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning |
| 2026-08-02 | 2608.01437v1 |
Beyond Routing Saturation: A Long-Horizon Class-Incremental Perspective on Expert Routing in Multimodal Contin |
| 2026-07-29 | 2607.26947v2 |
Progressive Multimodal Alignment for Continual Instruction Tuning |
| 2026-07-29 | 2607.26596v1 |
Decoupled Visual Processing: Efficient Multimodal Adaptation via Modality-Specific Transformer Substitution |
| 2026-07-29 | 2608.00068v1 |
SafeBuild-Bench: A Temporal-Robust Construction Safety Benchmark with Graph-Enhanced Data Mining |
| 2026-07-28 | 2607.25947v1 |
A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series |
| 2026-07-27 | 2607.23917v1 |
Gaze-to-text Generation: Beyond Categorical Decoding of Human Attention |
| 2026-07-15 | 2607.13860v1 |
Towards Enhancing 3D Spatial Reasoning in Medical Multimodal Large Language Models |
| 2026-07-13 | 2607.11102v1 |
CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection |
| 2026-07-11 | 2607.10308v1 |
Generalize LMMs to Versatile Visual Modalities via Fabricated Modality Synthesis |
| 2026-07-11 | 2607.10299v1 |
Empowering Long-form Omni-modal Understanding with Robust Audio Perception |
abs:"parameter-efficient" AND abs:"multimodal" — 命中 38,其中新增 30(只取了最近 30 条,新增数是下界)
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-04 | 2610.05129v1 |
Representation--Behavior Alignment for Explainable Weakly-Supervised Video Anomaly Detection |
| 2026-09-27 | 2609.33640v1 |
SafeMol: Dual-Modality Safety Alignment for Molecular Multimodal Models |
| 2026-09-12 | 2609.13654v1 |
Multimodal Foundation Models Adaptation based on Domain-Aware Relaxed Orthogonal Subspace for Remote Sensing |
| 2026-09-06 | 2609.06497v1 |
Vision-Guided Text Prompt Tuning for Multimodal Sentiment Analysis |
| 2026-09-05 | 2609.06188v1 |
MVFA: A Multi-View Text-Guided Multimodal Fusion LLM Adapter for Sentiment Analysis and Emotion Recognition |
| 2026-09-02 | 2609.05539v1 |
Dual-Latent Memory Routing for Vision-Language Reasoning |
| 2026-09-02 | 2609.02101v1 |
Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts |
| 2026-08-31 | 2608.30712v1 |
GUIDE: Guiding Internal Evidence with Language Instructions |
| 2026-08-30 | 2608.29802v1 |
Foundation and Multimodal Large Language Models for Face Presentation and Morph Attack Detection |
| 2026-08-29 | 2608.29357v1 |
LiteSearch-VL: Small Multimodal Search Agents via Trajectory Distillation and Synthetic Step-DPO |
| 2026-08-28 | 2608.27867v1 |
CoRe-MoE: Compact Reusable MoE for Continual Multimodal Instruction Tuning |
| 2026-08-19 | 2608.19355v1 |
GRACE: Grounded Reasoning via Adapter Composition and Evidence-Aware Calibration for Educational Visual Questi |
| 2026-08-18 | 2608.18386v1 |
TTSD-FAR: Test-Time Self-Distillation with Fisher-Anchored Restoration for Missing-Modality Emotion Recognitio |
| 2026-08-18 | 2608.17514v2 |
SE-MoLoRA: Shared-Expert LoRA Adapters for Domain-Specific Photographic Assessment |
| 2026-08-16 | 2608.15516v1 |
UniFed-VLM: Federated Instruction Tuning for Vision-Language Models with Multiple Heterogeneity |
| 2026-08-10 | 2609.26182v1 |
Modality-Gated Deep Adapters: Adding a Modality to a Frozen Embedding Model with Exact Preservation |
| 2026-08-08 | 2608.08244v2 |
FemWear: A Parameter-Efficient Wearable Foundation Model for Women's Health |
| 2026-08-06 | 2608.06246v1 |
A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance |
| 2026-08-04 | 2608.04130v1 |
Radar4D-VLM: Proposal-Grounded Temporal 4D Radar Reasoning Across Frozen Language Models |
| 2026-08-01 | 2608.00847v1 |
Models as Tools: An Agentic Coordination Framework for Unified Multimodal Visual Tracking |
| 2026-07-29 | 2607.26596v1 |
Decoupled Visual Processing: Efficient Multimodal Adaptation via Modality-Specific Transformer Substitution |
| 2026-07-25 | 2607.23245v1 |
FedTaste: Topology-Aware Structural Transfer for Multimodal Federated Learning with Missing Modalities |
| 2026-07-21 | 2607.19270v1 |
GUIDED Network-Agnostic Feature Initialization for Spatial Transferability in GNN-based Models |
| 2026-07-21 | 2607.18716v1 |
Continual Video-MLLM Adaptation over Evolving Domains |
| 2026-07-16 | 2607.15241v1 |
Beyond the Leaderboard: Design Lessons for Trustworthy Multimodal VQA |
| 2026-07-15 | 2607.13466v1 |
PQFA: Parallel Quantum Feature Augmentation of Fused Representations for Multimodal Classification |
| 2026-07-13 | 2607.11839v1 |
LoRA-Based Cascaded Multimodal Fusion for Action Recognition in Medical Training Environments |
| 2026-07-10 | 2607.09583v1 |
Promptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote S |
| 2026-07-07 | 2607.05736v1 |
Multimodal Molecular Representation Learning with Graph Neural Networks, Deep & Cross Networks, and SMILES Emb |
| 2026-07-03 | 2607.02930v1 |
CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in A |
abs:"catastrophic forgetting" AND abs:"multimodal" — 命中 21,其中新增 21
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-09-29 | 2609.37889v1 |
ReCAP: Retrieval-Guided Capability Reuse for Multimodal Continual Instruction Tuning |
| 2026-09-22 | 2609.25841v1 |
Metric-Bench: Exploring In-context Spatial Metric Reasoning in VLMs for Indoor Scenes |
| 2026-09-21 | 2609.24813v1 |
INTCORT: Training-Free Spatial Reasoning Enhancement for Vision-Language Models via Input Transformations and |
| 2026-09-07 | 2609.07009v1 |
NeuCME: Toward Dynamic Multimodal Continual Learning via Neural Combinatorics of Multiple Experts |
| 2026-08-27 | 2608.26820v1 |
LLaVAFlow: Preserving Latent Alignment Flow for Parameter-Efficient Multimodal Fine-Tuning |
| 2026-08-26 | 2608.26095v1 |
A Visual Dependence-Aware Framework for Multimodal Unsupervised Continual Post-Training |
| 2026-08-24 | 2608.23242v1 |
Mind the Couch! Eliciting MLLM Reasoning in Interior Design via Weak-to-Strong Task Vector Injection |
| 2026-08-12 | 2608.11758v1 |
AWARe: Mitigating Catastrophic Forgetting via Activation-Weighted Adaptive REtention |
| 2026-08-04 | 2608.03660v1 |
Taming the Implicit: Dual-Channel Risk-Aware Reinforcement Fine-Tuning for Continual Multimodal Post-Training |
| 2026-07-30 | 2607.28050v1 |
IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD |
| 2026-07-30 | 2607.27665v1 |
FedOGL: Combating Catastrophic Forgetting in Federated Open-World Multimodal Graph Learning |
| 2026-07-21 | 2607.18716v1 |
Continual Video-MLLM Adaptation over Evolving Domains |
| 2026-07-13 | 2607.12112v2 |
Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning |
| 2026-07-05 | 2607.04364v3 |
RL Forgets! Towards Continual Policy Optimization |
| 2026-07-05 | 2607.20511v1 |
SiGMA: Sign-Guided Merging and Adaptation for Multimodal Continual Instruction Tuning |
| 2026-07-04 | 2608.26155v1 |
VFA: Empowering Multilingual MLLMs via Vision-Free Adaptation |
| 2026-07-01 | 2607.00434v1 |
Information-Regularized Attention for Visual-Centric Reasoning |
| 2026-07-01 | 2607.00302v1 |
Wake up for Touch! Mask-isolated Tactile Alignment Learning in MLLMs |
| 2026-07-01 | 2607.00293v1 |
Rosetta: Composable Native Multimodal Pretraining |
| 2026-06-23 | 2606.24963v1 |
Curvature-Guided Mixing for MLLM Adaptation |
| 2026-06-16 | 2606.18472v1 |
Domain Generalizable Adaptation of 3D Vision-Language Models via Regularized Fine-Tuning |
abs:"preference alignment" AND abs:"vision-language" — 命中 8,其中新增 8
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-09-23 | 2609.31746v1 |
VisionPsy-Nano: Improving Accuracy, Efficiency, and Reliability in On-Device Vision-Language Models |
| 2026-09-08 | 2609.08188v1 |
Bridging the Semantic-Utility Gap in Multimodal RAG via Generator-in-the-Loop Alignment |
| 2026-09-06 | 2609.13259v1 |
TryOnReward: Learning Foveated Consistency for Reinforcement Fine-Tuning of Virtual Try-On |
| 2026-09-04 | 2609.04961v1 |
SAM-D2Q: Aligning Multimodal Doc2Query with Search Demand and Conversion for E-commerce |
| 2026-08-26 | 2608.25452v1 |
VGA-BenchV2: An Expanded Unified Benchmark and Multi-Model Framework for Evaluating Video Aesthetics and Gener |
| 2026-08-14 | 2608.14260v1 |
Personalized Digital Semantic Communication for Image Transmission with Vision-Language Models |
| 2026-07-02 | 2607.01721v1 |
CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning |
| 2026-06-24 | 2606.28401v1 |
Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs |
07 · 通用评测与幻觉¶
abs:"hallucination" AND abs:"multimodal large language" — 命中 78,其中新增 30(只取了最近 30 条,新增数是下界)
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-04 | 2610.05610v2 |
SEA-LM: Egocentric Spatial Audio Understanding for Wearable Microphone Arrays |
| 2026-10-03 | 2610.06972v1 |
BoT-Feedback: Grounding Multimodal Reasoning in Biomechanical Evidence for Explainable Human Action Feedback |
| 2026-10-02 | 2610.02887v1 |
Revealing Epistemic Uncertainty in MLLMs via Causal-Invariant Masking |
| 2026-09-29 | 2609.36562v1 |
ThinkingGuard: Decoding Implicit Hazards via Step-by-Step Risk Attribution in Multimodal Large Language Models |
| 2026-09-28 | 2609.35536v1 |
Look Before You Judge: Training-Free Region Mining for Grounded and Explainable Deepfake Detection |
| 2026-09-28 | 2609.34330v2 |
MiCo: Mutual Information Coverage Optimization through Semantic Erasure Modeling for Efficient MLLM Inference |
| 2026-09-24 | 2609.29940v1 |
Mind What Matters for Reasoning: Aligning Cross-Modal Attention via Selective Probability Mass Concentration |
| 2026-09-23 | 2609.28570v1 |
DEEPO: Dual-Entropy Enhanced Policy Optimization for Hallucination in MLLMs |
| 2026-09-18 | 2609.21828v1 |
Touvigation: Embodied Adaptive Object Acquisition for Blind and Low-Vision Users in Unfamiliar Indoor Environm |
| 2026-09-18 | 2609.21675v1 |
DRT: Dense Reasoning Trace for Efficient and Grounded Multimodal Reasoning |
| 2026-09-15 | 2609.17269v1 |
Semantic-Spatial Agreement Verification for Mitigating Object Hallucination in Multimodal Large Language Model |
| 2026-09-15 | 2609.17248v1 |
Video-HolmesV2: Can MLLMs Reason with Spatio-Temporal Audio-Visual Evidence in Long Videos? |
| 2026-09-15 | 2609.16601v1 |
SAVOR: Self-Aware Visual Grounding via Confidence-Calibrated Reinforcement Learning for Multimodal Hallucinati |
| 2026-09-12 | 2609.13849v1 |
UniCAR-RL: Seeing Better before Thinking Deeper in Visual Mathematics |
| 2026-09-10 | 2609.11244v1 |
OmniHallu: Unified Hallucination Detection for Cross-Modal Comprehension and Generation in Multimodal Large La |
| 2026-09-10 | 2609.11154v1 |
Multi-Faceted Evaluation and Mitigation of Emotion Hallucinations in MLLMs |
| 2026-09-08 | 2609.08300v1 |
Human-Centric Image Captioning with Subject-Centered Spatial Understanding |
| 2026-09-05 | 2609.09206v2 |
MLLMs Hallucinate when Information Distribution Drifts in Synergy Heads |
| 2026-09-03 | 2609.03414v1 |
StrixAE: An Intelligent Agent for Audio Enhancement under Complex Distortion Coupling in Real-World Scenarios |
| 2026-08-31 | 2609.00231v1 |
Beyond Language Priors: Diagnosing and Fixing Visual-Origin Hallucinations in Multimodal LLM |
| 2026-08-31 | 2608.30653v1 |
Fine-Grained Multi Image Object Hallucination Benchmark |
| 2026-08-28 | 2609.29607v1 |
STRAND: Benchmarking and Improving Object-Centric Spatio-Temporal Monitoring in Video Large Language Models |
| 2026-08-27 | 2608.28707v1 |
ReVA: A Region-Aware Visual Assistant for Visually Grounded Question Answering |
| 2026-08-26 | 2608.25986v1 |
Multi-Granularity Context-Enhanced RAG over Multimodal Knowledge Graphs |
| 2026-08-25 | 2608.23974v1 |
Boot-and-Feedback Framework for Generalist-Expert Model Collaboration in Breast Ultrasound Diagnosis |
| 2026-08-24 | 2608.23242v1 |
Mind the Couch! Eliciting MLLM Reasoning in Interior Design via Weak-to-Strong Task Vector Injection |
| 2026-08-23 | 2608.22367v1 |
Context-Aware Cluster Decoding: Semantic Anchor-Driven Coherence in dMLLMs |
| 2026-08-21 | 2609.27890v1 |
RelCheck: Dual-Evidence Spatial Grounding for VLM Hallucination Correction |
| 2026-08-19 | 2608.18586v1 |
OmniHandwritingOCR: A Diagnostic Benchmark for Evaluating Multimodal LLMs in Handwritten OCR Scenarios |
| 2026-08-18 | 2608.17895v1 |
BEAR-Bench: A Bilingual Enterprise and Academic Reasoning Benchmark for Multimodal Models |
abs:"MMMU" — 命中 15,其中新增 15
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-05 | 2610.05897v1 |
Fitting Vision Adapters at Frontier Scales |
| 2026-09-29 | 2609.38413v1 |
VidHarness: Evolving Agent Harnesses for Cost-Efficient Long Video Understanding |
| 2026-09-29 | 2609.36651v1 |
FocusVTC: Efficient and High-Performance Visual Text Compression with Adaptive Resolution |
| 2026-09-27 | 2609.33414v1 |
TTRSD: Test-Time Reinforcement Learning with Self-Distillation for Vision-Language Models |
| 2026-09-22 | 2609.26333v1 |
Disaggregated Quantization: Specializing LLM Prefill and Decode |
| 2026-09-14 | 2609.15051v1 |
Not All Prompts Are Equal: Exploration-Guided Prompt Scaffolding for Multimodal Reinforcement Post-Training |
| 2026-09-13 | 2609.14258v1 |
SPARK: Representation-Level KV Memory Alignment for Safer Vision-Language Models |
| 2026-08-27 | 2608.26495v2 |
Video-FLAIR: Not Whether to Reason, But How |
| 2026-08-24 | 2608.23268v1 |
Dual-Grained Agent Memory and Shapley Context Attribution for Multimodal Agentic Learner |
| 2026-08-02 | 2608.01207v2 |
It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for Vision-Language Test- |
| 2026-07-15 | 2607.14333v1 |
SD-MAR: Multi-image Analytical Reasoning via Synthetic Data and Reinforcement Learning |
| 2026-07-09 | 2607.08215v1 |
On the Limitations of Non-GPU AI Accelerators for Large-Model Inference: A Field Study of MoE and Multimodal S |
| 2026-06-25 | 2606.27376v1 |
Ask, Solve, Generate: Self-Evolving Unified Multimodal Understanding and Generation via Self-Consistency Rewar |
| 2026-06-16 | 2606.18385v1 |
CaVe-VLM-CoT: An Interpretable Vision-Language Model Framework |
| 2026-06-12 | 2606.14629v3 |
When Good Verifiers Go Bad: Silent Negative Transfer in Verifier-Guided VLM Training |
abs:"MMBench" — 命中 9,其中新增 9
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-07 | 2610.09361v1 |
From Chunks to Functional Evidence: Function-Aware Retrieval for EDA Documentation QA |
| 2026-09-30 | 2609.40362v1 |
Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces |
| 2026-09-15 | 2609.16601v1 |
SAVOR: Self-Aware Visual Grounding via Confidence-Calibrated Reinforcement Learning for Multimodal Hallucinati |
| 2026-08-27 | 2608.28707v1 |
ReVA: A Region-Aware Visual Assistant for Visually Grounded Question Answering |
| 2026-08-03 | 2608.01979v2 |
ET-Prune: Evidence-Aware Dynamic Budgeting for Visual Token Pruning in Text-Rich MLLMs |
| 2026-07-27 | 2607.24424v1 |
MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reaso |
| 2026-07-15 | 2607.14333v1 |
SD-MAR: Multi-image Analytical Reasoning via Synthetic Data and Reinforcement Learning |
| 2026-07-02 | 2607.01813v1 |
MMBench-Live: A Continuously Evolving Benchmark for Multimodal Models |
| 2026-06-29 | 2606.30084v1 |
One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding |
abs:"POPE" — 命中 28,其中新增 28
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-09-30 | 2609.40362v1 |
Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces |
| 2026-09-29 | 2609.38485v1 |
Beyond Layers: Position-Resolved Gradient Conflict and Position-Aware Modulation for Unified Multimodal Models |
| 2026-09-15 | 2609.17269v1 |
Semantic-Spatial Agreement Verification for Mitigating Object Hallucination in Multimodal Large Language Model |
| 2026-09-15 | 2609.16601v1 |
SAVOR: Self-Aware Visual Grounding via Confidence-Calibrated Reinforcement Learning for Multimodal Hallucinati |
| 2026-09-10 | 2609.11910v2 |
From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good |
| 2026-09-01 | 2610.00024v1 |
Encoded but Disconnected: Decomposing Vision-Language Model Failures under a Patching Null |
| 2026-08-31 | 2609.00231v1 |
Beyond Language Priors: Diagnosing and Fixing Visual-Origin Hallucinations in Multimodal LLM |
| 2026-08-30 | 2608.29996v1 |
Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models |
| 2026-08-30 | 2608.29924v1 |
Hallucination Mitigation for Large Vision-Language Models via Implicit Feature Stabilization |
| 2026-08-29 | 2608.29193v1 |
HalluPrism: When Multimodal Uncertainty Should Diagnose, Not Decide |
| 2026-08-29 | 2608.29092v1 |
EviAnchor: Mitigating Hallucinations in Large Vision-Language Models via Regional Visual Evidence Compensation |
| 2026-08-27 | 2608.28707v1 |
ReVA: A Region-Aware Visual Assistant for Visually Grounded Question Answering |
| 2026-08-26 | 2608.25865v1 |
Instability of Böhm's Einstein metrics |
| 2026-08-08 | 2608.08167v1 |
Wiener Representation Filtering for VLM Hallucination Suppression |
| 2026-07-29 | 2607.27145v1 |
Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications |
| 2026-07-29 | 2607.26596v1 |
Decoupled Visual Processing: Efficient Multimodal Adaptation via Modality-Specific Transformer Substitution |
| 2026-07-28 | 2607.25527v1 |
Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation |
| 2026-07-18 | 2607.16727v1 |
Constraint-Anchored Reasoning Traces |
| 2026-07-14 | 2607.12962v1 |
Form, Not Content? A Preregistered, Placebo-Controlled Evaluation of Learned Error-Conditioned Self-Repair Thr |
| 2026-07-13 | 2607.11791v1 |
Cosmology: 100 years after A. A. Friedmann |
| 2026-07-09 | 2607.08059v1 |
When Thinking Hurts: Epistemic Signals in the Reasoning Chains of Visual Language Models |
| 2026-07-07 | 2607.06726v1 |
A Good Initialization is All You Need for Faithful Visual Attribution |
| 2026-07-05 | 2607.04163v1 |
SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering |
| 2026-07-03 | 2607.03143v1 |
Text as Partial Constraint: Core-Residual Alignment for Robust Vision-Language Learning |
| 2026-07-01 | 2607.00784v1 |
LeVLJEPA: End-to-End Vision-Language Pretraining Without Negatives |
| 2026-06-28 | 2606.29431v5 |
FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models |
| 2026-06-27 | 2606.28862v2 |
HKVLM: Faithful Query--Region Binding for Frozen-Detector Visual Grounding |
| 2026-06-14 | 2606.15821v2 |
The Truth Stays in the Family: Enhancing Contextual Grounding via Inherited Truthful Heads in Model Lineages |
abs:"visual question answering" AND abs:"hallucination" — 命中 18,其中新增 18
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-09-29 | 2609.37685v2 |
PAIQ: Patch-Aligned Semantic Injection via Residual Rotation |
| 2026-09-16 | 2609.18562v1 |
Sim-to-Real Traffic Scene Understanding by Decoupling Semantics from Caption Generation with V-JEPA |
| 2026-09-15 | 2609.16601v1 |
SAVOR: Self-Aware Visual Grounding via Confidence-Calibrated Reinforcement Learning for Multimodal Hallucinati |
| 2026-08-31 | 2608.30475v1 |
ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation |
| 2026-08-28 | 2609.29604v1 |
PROVE: Proof-guided Regime-aware Operator Verification for Hallucination Detection in Medical Visual Question |
| 2026-08-27 | 2608.28707v1 |
ReVA: A Region-Aware Visual Assistant for Visually Grounded Question Answering |
| 2026-08-18 | 2608.17427v1 |
Counterfactual Anatomy-guided Spatial-Temporal Decoding for Annotation-Free Hallucination Mitigation in Medica |
| 2026-08-17 | 2608.16805v1 |
Diagnosing Dense Same-Class Attribute Misbinding in Large Vision-Language Models |
| 2026-08-11 | 2608.10964v1 |
CARE: Confidence-Aware Reasoning for Reliable Medical VQA |
| 2026-07-30 | 2607.28374v1 |
LEDGERMIND: Provenance-Constrained Multimodal Agentic Reasoning with a Structured Evidence Ledger |
| 2026-07-29 | 2607.26885v1 |
SCALPEL: Semantic Cross-modal Alignment via LLM-Powered Encoder Learning for Medical Vision-Language Represent |
| 2026-07-14 | 2607.12319v1 |
DM-KG: A Novel Method for Boosting Spatial Cognition of Vision-Language Models in Street View Imagery |
| 2026-07-05 | 2607.04163v1 |
SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering |
| 2026-06-30 | 2606.32012v1 |
CoMet: Context and Multiplicity Decomposition for Multimodal Uncertainty Estimation |
| 2026-06-25 | 2606.27373v1 |
Paying More Attention to Visual Tokens in Self-Evolving Large Multimodal Models |
| 2026-06-23 | 2606.24115v1 |
A Benchmark for Hallucination Detection in VLMs for Gastrointestinal Endoscopy |
| 2026-06-22 | 2606.23354v1 |
Faithful Grounded Visual Reasoning via Learned Proxy-Tokens |
| 2026-06-17 | 2606.19584v1 |
Language-Instructed Vision Embeddings for Controllable and Generalizable Perception |
abs:"vision-language model" AND abs:"evaluation" AND abs:"bias" — 命中 39,其中新增 29(只取了最近 30 条,新增数是下界)
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-04 | 2610.05023v1 |
Look Where You Say You're Looking: Self-Grounded Attention for Visual Reasoning |
| 2026-09-28 | 2609.36101v1 |
One Geometry, Different Outcomes: Readout-Dependent Effects of the Modality Gap in Vision-Language Models |
| 2026-09-23 | 2609.27682v2 |
Gender Bias in Vision-Language In-Context Learning |
| 2026-09-23 | 2609.31751v1 |
EgoTSR++: Egocentric Spatiotemporal Reasoning for Task Progress Understanding |
| 2026-09-21 | 2609.24485v2 |
VPRune: Efficient Training-free Pre-LLM Visual Token Pruning |
| 2026-09-15 | 2609.16651v1 |
Mechanism-Level Evaluation for Vision-Language Models: Controlled Activation-Replacement Diagnosis of Gender B |
| 2026-09-15 | 2609.16647v1 |
ViD: Vision-Dominant Gender Bias Mitigation for Large Vision-Language Models |
| 2026-09-04 | 2609.05761v1 |
GeoContext: One Context Ladder, Two Failure Modes in Vision-Language Geolocation: Flat Reliance on User-Provid |
| 2026-09-01 | 2609.01691v1 |
FairLens: Benchmarking Fairness in Vision-Language Models for High-Stakes Decision-Making |
| 2026-09-01 | 2609.01318v1 |
Reliability Challenges in Diffusion Vision-Language Models |
| 2026-08-30 | 2608.29590v1 |
Guardrail-Agnostic Societal Bias Evaluation in Large Vision-Language Models |
| 2026-08-26 | 2608.25375v1 |
GGSS: Geodesic-Gated Spherical Steering for Inference-Time Debiasing of Generative Vision-Language Models |
| 2026-08-17 | 2608.16081v2 |
SafeGesture: Evaluating Fine-Grained Hand Gesture Understanding in Vision-Language Models through Scenario-Con |
| 2026-08-14 | 2608.13969v1 |
PPOM: Marginalizing Patch-Grid Phase for CLIP-Based Generalizable Vision-Language Prompt Tuning |
| 2026-08-13 | 2608.13267v1 |
How Do VLMs Behave When Blind or Misled? Behavioral Evaluation of VLMs on Scientific Figures |
| 2026-08-12 | 2608.21415v1 |
Mitigating Bias in Large Vision-Language Models via Counterfactual Ensemble Decoding |
| 2026-08-12 | 2609.26210v1 |
Same Chart, Different Story: Bias in Vision-Language Chart Interpretation |
| 2026-08-11 | 2608.11074v1 |
CapProbe: Evaluating Detailed Image Captions via Full-Scene Dense Question Answering |
| 2026-08-05 | 2608.04510v1 |
GUARD: Grounding Uncertainty and Ablation-Based Risk Detection for Diffusion-Based VLAs |
| 2026-08-04 | 2608.03875v1 |
Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning |
| 2026-08-03 | 2608.01661v1 |
FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair |
| 2026-07-31 | 2608.00119v1 |
Counting the Cost of War Under Satellite Embargo: Zero-Shot Estimation of Impacted Infrastructure |
| 2026-07-30 | 2607.28609v2 |
OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models |
| 2026-07-30 | 2607.28211v1 |
Scaling Vision-Language Models Is Not Enough to Mitigate Bias |
| 2026-07-29 | 2609.17572v1 |
Disentangling Algorithmic Bias from Archival Artifacts: A Controlled Audit of Vision-Language Model Valuation |
| 2026-07-21 | 2607.18673v3 |
MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts |
| 2026-07-13 | 2607.11228v1 |
DeepBias: Adaptive In-depth Probing of Social Biases in LVLMs |
| 2026-07-13 | 2607.11044v2 |
RetroHolmes: When Semantic Plausibility Fails Retrospective Physical Process Reasoning |
| 2026-07-04 | 2607.03831v1 |
How Do Diffusion Classifiers Decide? A Bias-Centric Evaluation |
uav · 无人机主线¶
abs:"UAV" AND abs:"vision-language" — 命中 44,其中新增 16(只取了最近 30 条,新增数是下界)
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-01 | 2610.02451v1 |
A Simulation-Grounded Agentic VLM Framework for Wildfire Monitoring and Reporting |
| 2026-09-24 | 2609.30629v1 |
FRESHLATENT: Channel-Aware Latent Adaptation for Resource-Constrained Embodied VLM Perception |
| 2026-09-16 | 2609.18448v1 |
From Pixels to Semantics: Edge AI for UAV-Based Critical Infrastructure Inspection |
| 2026-09-16 | 2609.18326v1 |
UAVs Meet Embodied Intelligence: Bridging Human Intents and Flying Dynamics Via Harnessing Physical-Digital AI |
| 2026-09-16 | 2609.18210v2 |
Understanding Dynamic Scenes at Gigapixel Scale: Wide-Area Spatio-Temporal Perception from UAVs |
| 2026-09-08 | 2609.08402v1 |
Towards Embodied Air-Ground Cooperative Object Search: Benchmark, Dataset and Agentic Method |
| 2026-09-08 | 2609.08164v1 |
Dual-Layer Semantic-Spatial Belief Mapping for Aerial Object Goal Navigation |
| 2026-08-24 | 2608.22678v1 |
RACO: Reliability-Aware Coarse-Goal Optimization for Inspection-Oriented UAV Vision-Language Navigation |
| 2026-08-13 | 2608.12835v1 |
AirForesight: Current-to-Future Spatial Map Imagination with Cross-Space Planning Consistency for UAV-VLN |
| 2026-08-12 | 2608.14721v1 |
AeroGround: A Comprehensive Benchmark for Aerial-Ground Collaborative Reasoning |
| 2026-08-10 | 2608.09564v1 |
From Semantic Grounding to Decision Optimization: A Unified Framework for Long-Horizon UAV Vision-Language Nav |
| 2026-08-08 | 2608.08045v1 |
Lingjing: A Simulation Testbed for Multi-Agent Embodied Tasks in Open-Ended Cities |
| 2026-08-05 | 2608.04825v1 |
Deliberate Before You Fly: Vision-Guided Spatial Deliberation for UAV See-and-Reach Navigation |
| 2026-08-03 | 2608.01906v1 |
Assessing the Benefits of Combining Advanced Deep Learning Techniques for Post-Disaster Building Damage Assess |
| 2026-08-03 | 2608.01802v1 |
CoNav-UAV: Cooperative Dual-Altitude Aerial Navigation via Stackelberg Learning |
| 2026-07-30 | 2607.27597v1 |
A Systems Engineering Framework for Vision-Language-Enabled UAV Triage and Disaster Response |
abs:"aerial" AND abs:"vision-language model" — 命中 30,其中新增 20
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-04 | 2610.05342v1 |
IRSTD-Agent: Agentic Infrared Small Target Detection via Zoom-Guided Interaction Learning |
| 2026-09-20 | 2609.23655v1 |
Reassessing Global Gradient-Norm Imbalance in BLIP Fine-Tuning Across Physical Domains |
| 2026-09-16 | 2609.18448v1 |
From Pixels to Semantics: Edge AI for UAV-Based Critical Infrastructure Inspection |
| 2026-09-16 | 2609.18210v2 |
Understanding Dynamic Scenes at Gigapixel Scale: Wide-Area Spatio-Temporal Perception from UAVs |
| 2026-09-10 | 2609.11310v1 |
Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Lan |
| 2026-09-08 | 2609.08402v1 |
Towards Embodied Air-Ground Cooperative Object Search: Benchmark, Dataset and Agentic Method |
| 2026-09-08 | 2609.08164v1 |
Dual-Layer Semantic-Spatial Belief Mapping for Aerial Object Goal Navigation |
| 2026-09-01 | 2609.00628v1 |
Restrict, Don't Retrain: Inference-Time VLM Guidance for Zero-Shot Aerial Segmentation |
| 2026-08-12 | 2608.14721v1 |
AeroGround: A Comprehensive Benchmark for Aerial-Ground Collaborative Reasoning |
| 2026-08-04 | 2608.04175v1 |
TriCLE: Tri-Modal Vision-Language Reasoning for Edge-Deployed Fine-Grained Clustering |
| 2026-08-03 | 2608.02039v2 |
RSVideo: Are Your Vision-Language Models Ready for Remote Sensing Videos? |
| 2026-08-03 | 2608.01906v1 |
Assessing the Benefits of Combining Advanced Deep Learning Techniques for Post-Disaster Building Damage Assess |
| 2026-07-21 | 2607.19288v1 |
No Training, Better Flights: Test-Time Scaled VLMs for UAV Navigation |
| 2026-07-13 | 2607.12177v1 |
The Emerging Paradigm of Geospatial Foundation Models: From Pre-Training to Agentic Reasoning |
| 2026-07-09 | 2607.08359v1 |
FSD-VLN: Fast-Slow Dual-System Modeling for Aerial Long-Horizon Vision-Language Navigation |
| 2026-07-07 | 2607.07350v1 |
Towards Reliable Aerial Ground Vehicle Collaboration: An Integrated Planning and Autonomy Framework for Field |
| 2026-07-02 | 2607.02718v1 |
Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models |
| 2026-07-01 | 2607.00338v1 |
DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Images |
| 2026-06-19 | 2607.14125v1 |
CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models |
| 2026-06-17 | 2606.19277v1 |
A Unified Framework for Efficient Remote Sensing Visual Question Answering: Adapting Dual, Hybrid, and Encoder |
abs:"drone" AND abs:"vision-language" — 命中 9,其中新增 7
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-09-25 | 2609.31005v1 |
TRACKGRAPH: Online Open-Vocabulary 3D Scene Graphs via Image-Space Tracking |
| 2026-09-16 | 2609.18139v1 |
Multi-View Mixture-of-Experts with Vision-Language Reranking for Cross-View Object Geo-Localization |
| 2026-09-07 | 2609.07780v2 |
DroneGround: Open-Vocabulary Drone Payload Characterization Using Synthetic Data and Grounded Vision-Language |
| 2026-08-27 | 2608.26722v1 |
UniGeo: A Multi-modal Large Language Model for Text-Guided Cross-View Geo-Localization |
| 2026-08-10 | 2608.09270v1 |
GRASP: Granularity-Aware Region Alignment and Semantic Prototype Learning for Fine-Grained Cross-Modal Underst |
| 2026-07-07 | 2607.06706v1 |
Vision Language Action (VLA) Models for Unmanned Aerial Robotics and Bimanual Manipulation: A Review |
| 2026-07-01 | 2607.00338v1 |
DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Images |
abs:"remote sensing" AND abs:"vision-language model" — 命中 33,其中新增 30(只取了最近 30 条,新增数是下界)
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-10-06 | 2610.09085v1 |
Anaximander: Interactively Running Geospatial Deep Learning Models on Any Compute Backend |
| 2026-10-05 | 2610.06196v1 |
EORestore-Agent: Fidelity-Guided Agentic Restoration of Remote Sensing Images with Composite Degradations |
| 2026-09-29 | 2609.38603v1 |
Aperture: Training-Free Multiscale Concept Bottlenecks for Remote Sensing |
| 2026-09-28 | 2610.00302v1 |
Decoding the Disaster: Multi-Task Geospatial Reasoning with Vision-Language Models and Crowdsourced Imagery fo |
| 2026-09-26 | 2609.32813v1 |
USAI-Quant: A Quantitative Reasoning Benchmark for Vision-Language Models in Built Environments |
| 2026-09-23 | 2609.28230v2 |
A Unified Framework and Dataset for Oriented Object Visual Grounding in Remote Sensing |
| 2026-09-16 | 2609.18210v2 |
Understanding Dynamic Scenes at Gigapixel Scale: Wide-Area Spatio-Temporal Perception from UAVs |
| 2026-09-15 | 2609.16486v1 |
VPRef: A Cross-Domain Benchmark for Referring Remote Sensing Image Segmentation |
| 2026-09-13 | 2609.14523v1 |
Selective Tool Use for Agentic Change Visual Question Answering in Remote Sensing |
| 2026-09-09 | 2609.09876v1 |
From Pixels to Hierarchical Sequences: Quadtree Mask Encoding for Vision-Language Binary Change Detection |
| 2026-09-03 | 2609.03391v2 |
Exploring the Potential of Contrastive Language-Image Pre-training for Multi-Source Remote Sensing Data |
| 2026-09-01 | 2609.01289v1 |
Agentic Multimodal Models for Environmental Hyperspectral Unmixing |
| 2026-08-26 | 2608.25485v1 |
Semi-Supervised Adaptation of Vision-Language Models for Image Classification |
| 2026-08-13 | 2608.13344v1 |
LongEarth-R1: Benchmarking and Aligning Vision-Language Models for Long-Horizon Earth Observation Reasoning |
| 2026-08-07 | 2608.06959v1 |
Summarize First, Download Later: Onboard VLMs for Bandwidth-Efficient Earth Observation |
| 2026-08-05 | 2608.04791v1 |
On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing |
| 2026-08-04 | 2608.03911v1 |
UniEvo-RS: Omni-Prompt Unified Remote Sensing Segmentation with Representative Exemplar-Driven Prototype Evolu |
| 2026-08-03 | 2608.02039v2 |
RSVideo: Are Your Vision-Language Models Ready for Remote Sensing Videos? |
| 2026-07-31 | 2607.29192v1 |
Locally Consistent Transductive Information Maximization for Few-Shot Remote Sensing Scene Classification |
| 2026-07-23 | 2607.21036v1 |
GeoThreat: Transferable Targeted Adversarial Attacks on Large Vision-Language Models for Remote Sensing Image |
| 2026-07-18 | 2607.16819v1 |
FUSAR-R1: A Large-Scale Reasoning Model for Intelligent Interpretation of SAR Images |
| 2026-07-17 | 2607.15942v2 |
More with Less: a Large Scale Remote Sensing VLM with a Simple Recipe |
| 2026-07-13 | 2607.24810v1 |
RRS-10K: A Multitask Vision-Language Model Benchmark for Rare Remote Sensing Image Interpretation |
| 2026-07-11 | 2607.10120v1 |
WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding |
| 2026-07-07 | 2607.06485v1 |
AirflowAttack: Thermal-Airflow Adversarial Perturbations against Infrared Remote-Sensing Vision-Language Model |
| 2026-07-02 | 2607.02718v1 |
Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models |
| 2026-06-30 | 2606.31976v1 |
TreeAgent: A Generalizable Multi-Agent Framework for Automated Bias Labeling in Forestry via Compiled Expert R |
| 2026-06-26 | 2606.28266v1 |
RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning |
| 2026-06-17 | 2606.19277v1 |
A Unified Framework for Efficient Remote Sensing Visual Question Answering: Adapting Dual, Hybrid, and Encoder |
| 2026-06-15 | 2606.17246v1 |
GeoDisaster: Benchmarking Orchestrated Agents for Operational Disaster Geo-Intelligence |
abs:"UAV" AND abs:"multimodal large language model" — 命中 10,其中新增 6
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-08-14 | 2608.13980v1 |
FIRM: Fine-Grained Intra-Token Representation of Masks for Remote Sensing Reasoning Segmentation |
| 2026-07-22 | 2607.19857v1 |
Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos |
| 2026-07-19 | 2607.17386v1 |
SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing |
| 2026-07-14 | 2607.12477v2 |
Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence |
| 2026-07-01 | 2607.00416v1 |
DroneIQA-VLE: Multi-Task Drone Image Quality Assessment via Vision-Language Ensemble |
| 2026-06-26 | 2606.28049v1 |
AirGroundBench: Probing Spatial Intelligence in Multimodal Large Models under Heterogeneous Multi-View Embodie |
abs:"aerial" AND abs:"visual question answering" — 命中 3,其中新增 2
| 日期 | arXiv | 标题 |
|---|---|---|
| 2026-09-16 | 2609.18210v2 |
Understanding Dynamic Scenes at Gigapixel Scale: Wide-Area Spatio-Temporal Perception from UAVs |
| 2026-06-17 | 2606.19277v1 |
A Unified Framework for Efficient Remote Sensing Visual Question Answering: Adapting Dual, Hybrid, and Encoder |
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