{"total":41,"rows":[{"id":"2410.02712","title":"LLaVA-Critic: Learning to Evaluate Multimodal Models","created":"2024-10-03","cited_by_count":134,"area":"mllm"},{"id":"2502.09696","title":"ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models","created":"2025-02-13","cited_by_count":58,"area":"mllm"},{"id":"2509.00676","title":"LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model","created":"2025-08-31","cited_by_count":35,"area":"mllm"},{"id":"2411.16955","title":"Probing the limitations of multimodal language models for chemistry and materials research","created":"2024-11-25","cited_by_count":32,"area":"mllm"},{"id":"2411.03312","title":"Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters","created":"2024-11-05","cited_by_count":25,"area":"mllm"},{"id":"2412.13187","title":"HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction","created":"2024-12-17","cited_by_count":15,"area":"mllm"},{"id":"2502.14044","title":"Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data","created":"2025-02-19","cited_by_count":12,"area":"mllm"},{"id":"2508.15802","title":"MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding","created":"2025-08-14","cited_by_count":12,"area":"mllm"},{"id":"2505.15952","title":"VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance","created":"2025-05-21","cited_by_count":11,"area":"mllm"},{"id":"2510.06783","title":"TTRV: Test-Time Reinforcement Learning for Vision Language Models","created":"2025-10-08","cited_by_count":10,"area":"mllm"},{"id":"2508.05547","title":"Adapting Vision-Language Models Without Labels: A Comprehensive Survey","created":"2025-08-07","cited_by_count":7,"area":"mllm"},{"id":"2504.02349","title":"Large (Vision) Language Models are Unsupervised In-Context Learners","created":"2025-04-03","cited_by_count":6,"area":"mllm"},{"id":"2509.00484","title":"VideoRewardBench: Comprehensive Evaluation of Multimodal Reward Models for Video Understanding","created":"2025-08-30","cited_by_count":6,"area":"mllm"},{"id":"2601.15286","title":"Iterative Refinement Improves Compositional Image Generation","created":"2026-01-21","cited_by_count":5,"area":"mllm"},{"id":"2603.14448","title":"Zoom to Essence: Trainless GUI Grounding by Inferring upon Interface Elements","created":"2026-03-15","cited_by_count":5,"area":"mllm"},{"id":"2509.09658","title":"Measuring Epistemic Humility in Multimodal Large Language Models","created":"2025-09-11","cited_by_count":4,"area":"mllm"},{"id":"2505.15075","title":"Traveling Across Languages: Benchmarking Cross-Lingual Consistency in Multimodal LLMs","created":"2025-05-21","cited_by_count":3,"area":"mllm"},{"id":"2509.02129","title":"Scale, Don't Fine-tune: Guiding Multimodal LLMs for Efficient Visual Place Recognition at Test-Time","created":"2025-09-02","cited_by_count":3,"area":"mllm"},{"id":"2506.15649","title":"Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning","created":"2025-06-18","cited_by_count":2,"area":"mllm"},{"id":"2508.11616","title":"Controlling Multimodal LLMs via Reward-guided Decoding","created":"2025-08-15","cited_by_count":2,"area":"mllm"},{"id":"2508.11975","title":"Chart-CoCa: Self-Improving Chart Understanding of Vision LMs via Code-Driven Synthesis and Candidate-Conditioned Answering","created":"2025-08-16","cited_by_count":2,"area":"mllm"},{"id":"2510.18117","title":"Online In-Context Distillation for Low-Resource Vision Language Models","created":"2025-10-20","cited_by_count":2,"area":"mllm"},{"id":"2607.11175","title":"The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy","created":"2026-07-13","cited_by_count":2,"area":"mllm"},{"id":"2509.23465","title":"ViTSP: A Vision Language Models Guided Framework for Solving Large-Scale Traveling Salesman Problems","created":"2025-09-27","cited_by_count":1,"area":"mllm"},{"id":"2603.19790","title":"Geometric Risk Control for Vision-Language Model OCR","created":"2026-03-20","cited_by_count":1,"area":"mllm"},{"id":"2606.20244","title":"SPOT-E: Test-Time Entropy Shaping with Visual Spotlights for Frozen VLMs","created":"2026-06-18","cited_by_count":1,"area":"mllm"},{"id":"2505.04638","title":"Advancing AI Research Assistants with Expert-Involved Learning","created":"2025-05-03","cited_by_count":0,"area":"mllm"},{"id":"2507.09071","title":"BlindSight: Harnessing Sparsity for Efficient Vision-Language Models","created":"2025-07-11","cited_by_count":0,"area":"mllm"},{"id":"2604.19544","title":"DT2IT-MRM: Debiased Preference Construction and Iterative Training for Multimodal Reward Modeling","created":"2026-04-21","cited_by_count":0,"area":"mllm"},{"id":"2605.24398","title":"VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation","created":"2026-05-23","cited_by_count":0,"area":"mllm"},{"id":"2605.25427","title":"Binding Visual Features Point by Point","created":"2026-05-25","cited_by_count":0,"area":"mllm"},{"id":"2606.01612","title":"Self-Improving Small Object Grounding in LVLMs","created":"2026-06-01","cited_by_count":0,"area":"mllm"},{"id":"2607.06374","title":"VaseMuseum: Digital Intelligent Museum for Ancient Greek Pottery","created":"2026-07-07","cited_by_count":0,"area":"mllm"},{"id":"2607.25948","title":"MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities","created":"2026-07-28","cited_by_count":0,"area":"mllm"},{"id":"2608.04504","title":"GeoReward: Mitigating Contextual Variable Overestimation in Vision-Language Models for Cross-Market Preference Prediction","created":"2026-08-05","cited_by_count":0,"area":"mllm"},{"id":"2608.05675","title":"Consistency Has a Computable Blind Spot: A Commutation Theory of Label-Free Reliability for Vision-Language Figure Reading","created":"2026-08-06","cited_by_count":0,"area":"mllm"},{"id":"2608.11847","title":"LookBack: Where and How to Score LVLM Responses via Visual Reference Usage","created":"2026-08-12","cited_by_count":0,"area":"mllm"},{"id":"2608.14854","title":"Zero-MELO: Test-Time Evidence Calibration with Multimodal LLMs for Zero-Shot Micro-Gesture Recognition","created":"2026-08-14","cited_by_count":0,"area":"mllm"},{"id":"2609.09417","title":"Vision-language models know more about agriculture than they show and rubric-grounded verifications close the gap","created":"2026-09-08","cited_by_count":0,"area":"mllm"},{"id":"2610.00809","title":"Paying for Too Many Tokens? Valid and Cost-Efficient Multimodal LLM Annotation with Simple Heuristics","created":"2026-09-30","cited_by_count":0,"area":"mllm"},{"id":"2610.01640","title":"Not All Error Yields to Scale: Where Scaling Stops in Vision-Language Inference","created":"2026-10-01","cited_by_count":0,"area":"mllm"}],"next_cursor":null}