{"total":67,"rows":[{"id":"2509.07979","title":"Visual Representation Alignment for Multimodal Large Language Models","created":"2025-09-09","cited_by_count":41,"area":"lr"},{"id":"2506.09047","title":"Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs","created":"2025-06-10","cited_by_count":35,"area":"mllm"},{"id":"2502.14744","title":"HiddenDetect: Detecting Jailbreak Attacks against Large Vision-Language Models via Monitoring Hidden States","created":"2025-02-20","cited_by_count":33,"area":"mllm"},{"id":"2601.14004","title":"Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models","created":"2026-01-20","cited_by_count":27,"area":"mechinterp"},{"id":"2508.05211","title":"VFlowOpt: A Token Pruning Framework for LMMs with Visual Information Flow-Guided Optimization","created":"2025-08-07","cited_by_count":22,"area":"mllm"},{"id":"2510.17205","title":"$\\mathcal{V}isi\\mathcal{P}runer$: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs","created":"2025-10-20","cited_by_count":17,"area":"mllm"},{"id":"2503.14075","title":"Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models","created":"2025-03-18","cited_by_count":15,"area":"mllm"},{"id":"2602.00462","title":"LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs","created":"2026-01-31","cited_by_count":15,"area":"mllm"},{"id":"2602.02951","title":"N\\\"uwa: Mending the Spatial Integrity Torn by VLM Token Pruning","created":"2026-02-03","cited_by_count":15,"area":"mllm"},{"id":"2509.21789","title":"Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow","created":"2025-09-26","cited_by_count":13,"area":"mllm"},{"id":"2512.01763","title":"HiconAgent: History Context-aware Policy Optimization for GUI Agents","created":"2025-12-01","cited_by_count":13,"area":"agents"},{"id":"2602.03060","title":"IVC-Prune: Revealing the Implicit Visual Coordinates in LVLMs for Vision Token Pruning","created":"2026-02-03","cited_by_count":12,"area":"mllm"},{"id":"2503.16843","title":"LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models","created":"2025-03-21","cited_by_count":11,"area":"mllm"},{"id":"2510.13251","title":"Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs","created":"2025-10-15","cited_by_count":10,"area":"mllm"},{"id":"2512.12675","title":"Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling","created":"2025-12-14","cited_by_count":10,"area":null},{"id":"2602.07574","title":"ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention","created":"2026-02-07","cited_by_count":10,"area":"mllm"},{"id":"2510.02778","title":"AdaRD-key: Adaptive Relevance-Diversity Keyframe Sampling for Long-form Video understanding","created":"2025-10-03","cited_by_count":9,"area":null},{"id":"2511.20032","title":"Tell Model Where to Look: Mitigating Hallucinations in MLLMs by Vision-Guided Attention","created":"2025-11-25","cited_by_count":9,"area":null},{"id":"2604.02605","title":"Do Audio-Visual Large Language Models Really See and Hear?","created":"2026-04-03","cited_by_count":9,"area":null},{"id":"2504.04099","title":"TARAC: Mitigating Hallucination in LVLMs via Temporal Attention Real-time Accumulative Connection","created":"2025-04-05","cited_by_count":7,"area":"mllm"},{"id":"2511.05534","title":"FlowMM: Cross-Modal Information Flow Guided KV Cache Merging for Efficient Multimodal Context Inference","created":"2025-10-29","cited_by_count":6,"area":"inference"},{"id":"2602.24014","title":"Interpretable Debiasing of Vision-Language Models for Social Fairness","created":"2026-02-27","cited_by_count":6,"area":"lr"},{"id":"2510.08608","title":"MMA-ASIA: A Multilingual and Multimodal Alignment Framework for Culturally-Grounded Evaluation","created":"2025-10-07","cited_by_count":5,"area":null},{"id":"2512.15885","title":"Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models","created":"2025-12-17","cited_by_count":5,"area":"lr"},{"id":"2512.16891","title":"LinkedOut: Linking World Knowledge Representation Out of Video LLM for Next-Generation Video Recommendation","created":"2025-12-18","cited_by_count":5,"area":null},{"id":"2603.12989","title":"Test-Time Attention Purification for Backdoored Large Vision Language Models","created":"2026-03-13","cited_by_count":5,"area":"mllm"},{"id":"2607.03358","title":"Pathways of Visual Information Flow in Vision-Language Models","created":"2026-07-03","cited_by_count":5,"area":"mllm"},{"id":"2511.16595","title":"TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding","created":"2025-11-20","cited_by_count":4,"area":"mllm"},{"id":"2603.29676","title":"A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models","created":"2026-03-31","cited_by_count":4,"area":"mllm"},{"id":"2505.18640","title":"ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation","created":"2025-05-24","cited_by_count":3,"area":null},{"id":"2601.08017","title":"Representations of Text and Images Align From Layer One","created":"2026-01-12","cited_by_count":3,"area":"mllm"},{"id":"2601.08151","title":"Where Does Vision Meet Language? Understanding and Refining Visual Fusion in MLLMs via Contrastive Attention","created":"2026-01-13","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":"2604.15809","title":"Aligning What Vision-Language Models See and Perceive with Adaptive Information Flow","created":"2026-04-17","cited_by_count":3,"area":"mllm"},{"id":"2506.13166","title":"GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models","created":"2025-06-16","cited_by_count":2,"area":"mllm"},{"id":"2509.19191","title":"Reading Images Like Texts: Sequential Image Understanding in Vision-Language Models","created":"2025-09-23","cited_by_count":2,"area":"mllm"},{"id":"2511.22805","title":"From Pixels to Feelings: Aligning MLLMs with Human Cognitive Perception of Images","created":"2025-11-27","cited_by_count":2,"area":"mllm"},{"id":"2604.03072","title":"MI-Pruner: Crossmodal Mutual Information-guided Token Pruner for Efficient MLLMs","created":"2026-04-03","cited_by_count":2,"area":"mllm"},{"id":"2605.13737","title":"Senses Wide Shut: A Representation-Action Gap in Omnimodal LLMs","created":"2026-05-13","cited_by_count":2,"area":null},{"id":"2605.18018","title":"See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding","created":"2026-05-18","cited_by_count":2,"area":null},{"id":"2607.12815","title":"Visual Access Boundaries in Vision-Language Model Reasoning","created":"2026-07-14","cited_by_count":2,"area":"lr"},{"id":"2509.18179","title":"The Describe-Then-Generate Bottleneck: How VLM Descriptions Alter Image Generation Outcomes","created":"2025-09-18","cited_by_count":1,"area":null},{"id":"2512.07302","title":"Towards Accurate UAV Image Perception: Guiding Vision-Language Models with Stronger Task Prompts","created":"2025-12-08","cited_by_count":1,"area":"mllm"},{"id":"2602.19615","title":"Seeing Clearly, Reasoning Confidently: Plug-and-Play Remedies for Vision Language Model Blindness","created":"2026-02-23","cited_by_count":1,"area":"lr"},{"id":"2603.18453","title":"Learning Consistent Temporal Grounding between Related Tasks in Sports Coaching","created":"2026-03-19","cited_by_count":1,"area":null},{"id":"2605.19250","title":"Causal Evidence for Attention Head Imbalance in Modality Conflict Hallucination","created":"2026-05-19","cited_by_count":1,"area":"mllm"},{"id":"2605.21954","title":"MLLMs Know When Before Speaking: Revealing and Recovering Temporal Grounding via Attention Cues","created":"2026-05-21","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":"2609.38177","title":"Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering","created":"2026-09-29","cited_by_count":1,"area":"mllm"},{"id":"2511.18875","title":"Parallel Vision Token Scheduling for Fast and Accurate Multimodal LMMs Inference","created":"2025-11-24","cited_by_count":0,"area":"lr"},{"id":"2602.06914","title":"Seeing Beyond Redundancy: Task Complexity's Role in Vision Token Specialization in VLLMs","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2603.20433","title":"When Demonstrations Fail: Diagnosing the Limits of In-Context Learning in Large Audio-Language Models with Progressive Cue Removal","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2606.03871","title":"Visual Instruction Tuning Aligns Modalities through Abstraction","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2606.14740","title":"GridVQA-X: A Framework for Evaluating Multimodal Explainability Methods","created":"2026-06-02","cited_by_count":0,"area":"mllm"},{"id":"2606.20077","title":"The Hidden Evolution of Disguised Visual Context inside the VLM","created":"2026-06-18","cited_by_count":0,"area":null},{"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":"2607.02961","title":"Overloading Large Vision-Language Models for Jailbreaking","created":"2026-07-03","cited_by_count":0,"area":"mllm"},{"id":"2607.03738","title":"Attending to Multimodal Generation One Token at a Time","created":"2026-07-04","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":"2608.09928","title":"Multimodal Model Diffing for Feature Discovery and Control","created":"2026-08-10","cited_by_count":0,"area":"mllm"},{"id":"2609.34809","title":"From Perception to Integration: Revisiting the Internal Dynamics of Reasoning in Vision-Language Models","created":"2026-09-28","cited_by_count":0,"area":"lr"},{"id":"2609.37568","title":"Devils in Question Relay: Source-Conditioned Relay Steering to Mitigate Hallucinations in Audio-visual Large Language Models","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.37685","title":"PAIQ: Patch-Aligned Semantic Injection via Residual Rotation","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38802","title":"Uncovering Uncontrolled Repetition through Residual Stream Dynamics","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.01076","title":"GLoC-EHR: Evidence-Cited Clinical Reasoning over Global Context and Local EHR Events","created":"2026-10-01","cited_by_count":0,"area":"lr"},{"id":"2610.03289","title":"Architecture-Dependent Fusion Pathways in MLLMs","created":"2026-10-02","cited_by_count":0,"area":"mllm"},{"id":"2610.13111","title":"What Do Visual-Head Discovery Scores Actually Find? Attention Source, Necessity, and Random-Control Pitfalls in Vision-Language Models","created":"2026-10-09","cited_by_count":0,"area":"mllm"}],"next_cursor":null}