{"total":87,"rows":[{"id":"2605.25979","title":"LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence","created":"2026-05-25","cited_by_count":39,"area":"mllm"},{"id":"2511.11007","title":"VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models","created":"2025-11-14","cited_by_count":37,"area":"mllm"},{"id":"2510.10991","title":"A Survey on Agentic Multimodal Large Language Models","created":"2025-10-13","cited_by_count":23,"area":"mllm"},{"id":"2512.21675","title":"UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture","created":"2025-12-25","cited_by_count":22,"area":"mllm"},{"id":"2511.21662","title":"Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following","created":"2025-11-26","cited_by_count":15,"area":"mllm"},{"id":"2512.04686","title":"Towards Cross-View Point Correspondence in Vision-Language Models","created":"2025-12-04","cited_by_count":14,"area":"mllm"},{"id":"2510.16598","title":"VisionSelector: End-to-End Learnable Visual Token Compression for Efficient Multimodal LLMs","created":"2025-10-18","cited_by_count":11,"area":"mllm"},{"id":"2604.13074","title":"PersonaVLM: Long-Term Personalized Multimodal LLMs","created":"2026-03-20","cited_by_count":11,"area":"mllm"},{"id":"2512.08829","title":"InfiniteVL: Synergizing Linear and Sparse Attention for Highly-Efficient, Unlimited-Input Vision-Language Models","created":"2025-12-09","cited_by_count":10,"area":"mllm"},{"id":"2601.19325","title":"Innovator-VL: A Multimodal Large Language Model for Scientific Discovery","created":"2026-01-27","cited_by_count":8,"area":"mllm"},{"id":"2602.04802","title":"VISTA-Bench: Do Vision-Language Models Really Understand Visualized Text as Well as Pure Text?","created":"2026-02-04","cited_by_count":8,"area":"mllm"},{"id":"2603.27064","title":"ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding","created":"2026-03-28","cited_by_count":8,"area":"mllm"},{"id":"2606.10400","title":"Do Vision-Language Models See or Guess? Measuring and Reducing Textual-Prior Reliance with a Phrasing-Controlled Benchmark","created":"2026-06-09","cited_by_count":8,"area":"mllm"},{"id":"2512.09663","title":"IF-Bench: Benchmarking and Enhancing MLLMs for Infrared Images with Generative Visual Prompting","created":"2025-12-10","cited_by_count":6,"area":"mllm"},{"id":"2512.22238","title":"Masking Teacher and Reinforcing Student for Distilling Vision-Language Models","created":"2025-12-23","cited_by_count":6,"area":"mllm"},{"id":"2604.06912","title":"Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models","created":"2026-04-08","cited_by_count":6,"area":"mllm"},{"id":"2606.24422","title":"EgoSAT: A Comprehensive Benchmark of Egocentric Streaming Interaction Understanding","created":"2026-06-23","cited_by_count":6,"area":"mllm"},{"id":"2603.00490","title":"LifeEval: A Multimodal Benchmark for Assistive AI in Egocentric Daily Life Tasks","created":"2026-02-28","cited_by_count":5,"area":"mllm"},{"id":"2604.08120","title":"Small Vision-Language Models are Smart Compressors for Long Video Understanding","created":"2026-04-09","cited_by_count":5,"area":"mllm"},{"id":"2603.09326","title":"OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language Models","created":"2026-03-10","cited_by_count":4,"area":"mllm"},{"id":"2603.18558","title":"HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering","created":"2026-03-19","cited_by_count":4,"area":"mllm"},{"id":"2605.00444","title":"Scaling Video Understanding via Compact Latent Multi-Agent Collaboration","created":"2026-05-01","cited_by_count":4,"area":"mllm"},{"id":"2605.00814","title":"Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs","created":"2026-05-01","cited_by_count":4,"area":"mllm"},{"id":"2511.16786","title":"Revisiting Multimodal KV Cache Compression: A Frequency-Domain-Guided Outlier-KV-Aware Approach","created":"2025-11-20","cited_by_count":3,"area":"mllm"},{"id":"2604.08456","title":"Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models","created":"2026-04-09","cited_by_count":3,"area":"mllm"},{"id":"2512.06281","title":"Unleashing the Intrinsic Visual Representation Capability of Multimodal Large Language Models","created":"2025-12-06","cited_by_count":2,"area":"mllm"},{"id":"2602.15927","title":"Visual Memory Injection Attacks for Multi-Turn Conversations","created":"2026-02-17","cited_by_count":2,"area":"mllm"},{"id":"2603.12108","title":"EvoTok: A Unified Image Tokenizer via Residual Latent Evolution for Visual Understanding and Generation","created":"2026-03-12","cited_by_count":2,"area":"mllm"},{"id":"2604.16514","title":"BARD: Bridging AutoRegressive and Diffusion Vision-Language Models Via Highly Efficient Progressive Block Merging and Stage-Wise Distillation","created":"2026-04-15","cited_by_count":2,"area":"mllm"},{"id":"2605.01911","title":"SurgCheck: Do Vision-Language Models Really Look at Images in Surgical VQA?","created":"2026-05-03","cited_by_count":2,"area":"mllm"},{"id":"2605.08560","title":"ZAYA1-VL-8B Technical Report","created":"2026-05-08","cited_by_count":2,"area":"mllm"},{"id":"2605.11477","title":"LDDR: Linear-DPP-Based Dynamic-Resolution Frame Sampling for Video MLLMs","created":"2026-05-12","cited_by_count":2,"area":"mllm"},{"id":"2605.18853","title":"INAR-VL: Input-Aware Routing for Edge-Cloud Vision-Language Inference","created":"2026-05-13","cited_by_count":2,"area":"mllm"},{"id":"2606.25634","title":"SSMNBench: Diagnosing Image-based Cross-View Human-Object Understanding via Single-View Sufficiency and Multi-View Necessity","created":"2026-06-24","cited_by_count":2,"area":"mllm"},{"id":"2606.28551","title":"DataComp-VLM: Improved Open Datasets for Vision-Language Models","created":"2026-06-26","cited_by_count":2,"area":"mllm"},{"id":"2512.02536","title":"WeMMU: Enhanced Bridging of Vision-Language Models and Diffusion Models via Noisy Query Tokens","created":"2025-12-02","cited_by_count":1,"area":"mllm"},{"id":"2512.18735","title":"$M^3-Verse$: A \"Spot the Difference\" Challenge for Large Multimodal Models","created":"2025-12-21","cited_by_count":1,"area":"mllm"},{"id":"2512.19535","title":"CASA: Cross-Attention over Self-Attention for Efficient Vision-Language Fusion","created":"2025-12-22","cited_by_count":1,"area":"mllm"},{"id":"2603.20275","title":"Understanding Pruning Regimes in Vision-Language Models Through Domain-Aware Layer Selection","created":"2026-03-17","cited_by_count":1,"area":"mllm"},{"id":"2605.09429","title":"Evading Visual Aphasia: Contrastive Adaptive Semantic Token Pruning for Vision-Language Models","created":"2026-05-10","cited_by_count":1,"area":"mllm"},{"id":"2605.11591","title":"Logit-Attention Divergence: Mitigating Position Bias in Multi-Image Retrieval via Attention-Guided Calibration","created":"2026-05-12","cited_by_count":1,"area":"mllm"},{"id":"2605.12258","title":"Instruction Lens Score: Your Instruction Contributes a Powerful Object Hallucination Detector for Multimodal Large Language Models","created":"2026-05-12","cited_by_count":1,"area":"mllm"},{"id":"2606.10147","title":"From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs","created":"2026-06-08","cited_by_count":1,"area":"mllm"},{"id":"2606.11568","title":"4DP-QA: Scalable QA for 4D Perception in Vision Language Models","created":"2026-06-10","cited_by_count":1,"area":"mllm"},{"id":"2606.15320","title":"Conditional Multi-Event Temporal Grounding in Long-Form Video","created":"2026-06-13","cited_by_count":1,"area":"mllm"},{"id":"2606.19534","title":"PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models","created":"2026-06-17","cited_by_count":1,"area":"mllm"},{"id":"2606.31903","title":"Attend, Transform, or Silence: Operator-Level Visual Skipping for Efficient Multimodal LLM Inference","created":"2026-06-30","cited_by_count":1,"area":"mllm"},{"id":"2512.24985","title":"DarkQA: Benchmarking Vision-Language Models on Visual-Primitive Question Answering in Low-Light Indoor Scenes","created":"2025-12-31","cited_by_count":0,"area":"mllm"},{"id":"2602.03300","title":"R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model?","created":"2026-02-03","cited_by_count":0,"area":"mllm"},{"id":"2603.00842","title":"MedGPT-oss: Training a General-Purpose Vision-Language Model for Biomedicine","created":"2026-03-01","cited_by_count":0,"area":"mllm"},{"id":"2603.17326","title":"FineViT: Progressively Unlocking Fine-Grained Perception with Dense Recaptions","created":"2026-03-18","cited_by_count":0,"area":"mllm"},{"id":"2604.02870","title":"Token Warping Helps MLLMs Look from Nearby Viewpoints","created":"2026-04-03","cited_by_count":0,"area":"mllm"},{"id":"2604.04419","title":"BoxComm: Benchmarking Category-Aware Commentary Generation and Narration Rhythm in Boxing","created":"2026-04-06","cited_by_count":0,"area":"mllm"},{"id":"2604.12767","title":"CLASP: Class-Adaptive Layer Fusion and Dual-Stage Pruning for Multimodal Large Language Models","created":"2026-04-14","cited_by_count":0,"area":"mllm"},{"id":"2605.21980","title":"Interpreting and Enhancing Emotional Circuits in Large Vision-Language Models via Cross-Modal Information Flow","created":"2026-05-21","cited_by_count":0,"area":"mllm"},{"id":"2605.30265","title":"LoMo: Local Modality Substitution for Deeper Vision-Language Fusion","created":"2026-05-28","cited_by_count":0,"area":"mllm"},{"id":"2606.00390","title":"Zamba2-VL Technical Report","created":"2026-05-29","cited_by_count":0,"area":"mllm"},{"id":"2606.05748","title":"UNIVID: Unified Vision-Language Model for Video Moderation","created":"2026-06-04","cited_by_count":0,"area":"mllm"},{"id":"2606.16583","title":"Uncertainty Is Not a Safety Net for Clinical VQA, but Can It Anticipate Model Failure?","created":"2026-06-15","cited_by_count":0,"area":"mllm"},{"id":"2606.19776","title":"Occ-VLM: Occupancy Grounded Vision Language Model for Indoor Scene Understanding","created":"2026-06-18","cited_by_count":0,"area":"mllm"},{"id":"2606.26602","title":"DiCoBench: Benchmarking Multi-Image Fine-Grained Perception via Differential and Commonality Visual Cues","created":"2026-06-25","cited_by_count":0,"area":"mllm"},{"id":"2607.01086","title":"LongVQUBench: Benchmarking Long-Term Video Quality Understanding of Vision-Language Models","created":"2026-07-01","cited_by_count":0,"area":"mllm"},{"id":"2607.02575","title":"Criterion-Conditional In-Context Learning: Evaluating Criterion-Shift Adaptation in Vision-Language Models","created":"2026-06-30","cited_by_count":0,"area":"mllm"},{"id":"2607.02909","title":"Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models","created":"2026-07-03","cited_by_count":0,"area":"mllm"},{"id":"2607.07375","title":"On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces","created":"2026-07-08","cited_by_count":0,"area":"mllm"},{"id":"2607.09029","title":"MOSAIC: Adaptive Inter-layer Composition for Efficient Heterogeneous Vision-Language Models","created":"2026-07-10","cited_by_count":0,"area":"mllm"},{"id":"2607.10308","title":"Generalize LMMs to Versatile Visual Modalities via Fabricated Modality Synthesis","created":"2026-07-11","cited_by_count":0,"area":"mllm"},{"id":"2607.23373","title":"UltraViT: Latency-Optimized On-device Vision Encoder for Large Vision-Language Models","created":"2026-07-25","cited_by_count":0,"area":"mllm"},{"id":"2607.24516","title":"DecoupleMix: Decoupled Ratio Search and Convex Allocation for Scalable VLM Data Recipes","created":"2026-07-27","cited_by_count":0,"area":"mllm"},{"id":"2608.05616","title":"TruthLens: Object Hallucination Detection via Self-Evaluating Truthfulness Scores in LVLMs","created":"2026-08-06","cited_by_count":0,"area":"mllm"},{"id":"2608.09122","title":"Visual Distortion Detection in UGC Images Using Large Multimodal Models","created":"2026-08-10","cited_by_count":0,"area":"mllm"},{"id":"2608.11167","title":"MultiModal Code-Switching: Interleaving Visual Objects into Language for Explicit Object-Level Alignment","created":"2026-08-11","cited_by_count":0,"area":"mllm"},{"id":"2608.12333","title":"Vision-Language Models are Fragile Multilingual Associators","created":"2026-06-02","cited_by_count":0,"area":"mllm"},{"id":"2608.25398","title":"OmniPhys: A Unified Multimodal Benchmark for Physics Understanding and Generation from Chinese Educational Corpora","created":"2026-08-26","cited_by_count":0,"area":"mllm"},{"id":"2609.03276","title":"R2S-Eval: Robot Evaluation with Real-to-Sim Calibration via Vision-Language Models","created":"2026-09-03","cited_by_count":0,"area":"mllm"},{"id":"2609.14973","title":"PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models","created":"2026-09-14","cited_by_count":0,"area":"mllm"},{"id":"2609.32185","title":"Contamination, Prior, or Evidence? Decomposing and Training Evidence Use in Whole-Slide Vision-Language Models","created":"2026-09-26","cited_by_count":0,"area":"mllm"},{"id":"2609.32353","title":"Fewer Tokens, More Self-Teaching: On-Policy Self-Distillation for Extreme Visual Token Reduction","created":"2026-09-26","cited_by_count":0,"area":"mllm"},{"id":"2609.33414","title":"TTRSD: Test-Time Reinforcement Learning with Self-Distillation for Vision-Language Models","created":"2026-09-27","cited_by_count":0,"area":"mllm"},{"id":"2609.34861","title":"When Text Matters: Design Principles for Visual Token Pruning in Vision-Language Model","created":"2026-09-28","cited_by_count":0,"area":"mllm"},{"id":"2609.34942","title":"Resolution as a First-Class Decision: Task-Conditioned Routing for Efficient Multimodal Large Language Models","created":"2026-09-28","cited_by_count":0,"area":"mllm"},{"id":"2609.35272","title":"When Words Speak Louder than Images: Towards Understanding Language Bias in Vision-Language Models","created":"2026-09-28","cited_by_count":0,"area":"mllm"},{"id":"2609.37515","title":"Hierarchical Compression of Vision-Language Model Benchmarks","created":"2026-09-29","cited_by_count":0,"area":"mllm"},{"id":"2609.37576","title":"Evaluating the Evaluators: Diagnosing Large Multimodal Models for AI-Generated Image Assessment","created":"2026-09-29","cited_by_count":0,"area":"mllm"},{"id":"2610.00576","title":"Gestalt: Large Multimodal Interplay Model","created":"2026-09-30","cited_by_count":0,"area":"mllm"},{"id":"2610.07987","title":"VisionWeave: Weaving Elastic Visual Representations as a Native Capability of MLLMs","created":"2026-10-06","cited_by_count":0,"area":"mllm"},{"id":"2610.20352","title":"ReferFlow: Beyond Final-Target Localization for Complex Referring Expressions","created":"2026-10-14","cited_by_count":0,"area":"mllm"}],"next_cursor":null}