{"total":86,"rows":[{"id":"2509.23661","title":"LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training","created":"2025-09-28","cited_by_count":244,"area":"mllm"},{"id":"2503.05236","title":"Unified Reward Model for Multimodal Understanding and Generation","created":"2025-03-07","cited_by_count":199,"area":"alignment"},{"id":"2506.01937","title":"RewardBench 2: Advancing Reward Model Evaluation","created":"2025-06-02","cited_by_count":150,"area":"alignment"},{"id":"2503.10291","title":"VisualPRM: An Effective Process Reward Model for Multimodal Reasoning","created":"2025-03-13","cited_by_count":139,"area":"lr"},{"id":"2506.03569","title":"MiMo-VL Technical Report","created":"2025-06-04","cited_by_count":115,"area":"lr"},{"id":"2505.03318","title":"Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning","created":"2025-05-06","cited_by_count":90,"area":"lr"},{"id":"2502.10391","title":"MM-RLHF: The Next Step Forward in Multimodal LLM Alignment","created":"2025-02-14","cited_by_count":83,"area":"mllm"},{"id":"2501.12368","title":"InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model","created":"2025-01-21","cited_by_count":74,"area":"lr"},{"id":"2505.02835","title":"R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning","created":"2025-05-05","cited_by_count":65,"area":"mllm"},{"id":"2504.12501","title":"Reinforcement Learning from Human Feedback","created":"2025-04-16","cited_by_count":58,"area":"alignment"},{"id":"2504.12328","title":"A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future","created":"2025-04-12","cited_by_count":53,"area":"alignment"},{"id":"2502.14191","title":"Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models","created":"2025-02-20","cited_by_count":44,"area":"mllm"},{"id":"2501.02497","title":"A Survey of Test-Time Compute: From Intuitive Inference to Deliberate Reasoning","created":"2025-01-05","cited_by_count":40,"area":"lr"},{"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":"2504.18838","title":"Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks","created":"2025-04-26","cited_by_count":28,"area":null},{"id":"2412.13746","title":"RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment","created":"2024-12-18","cited_by_count":23,"area":"rag"},{"id":"2504.03151","title":"Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)","created":"2025-04-04","cited_by_count":23,"area":"lr"},{"id":"2512.16899","title":"Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image","created":"2025-12-18","cited_by_count":20,"area":"alignment"},{"id":"2503.07478","title":"VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models","created":"2025-03-10","cited_by_count":19,"area":"lr"},{"id":"2503.20271","title":"ViLBench: A Suite for Vision-Language Process Reward Modeling","created":"2025-03-26","cited_by_count":16,"area":"lr"},{"id":"2506.08835","title":"CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics","created":"2025-06-10","cited_by_count":15,"area":null},{"id":"2509.16127","title":"BaseReward: A Strong Baseline for Multimodal Reward Model","created":"2025-09-19","cited_by_count":15,"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":"2505.02686","title":"Sailing by the Stars: A Survey on Reward Models and Learning Strategies for Learning from Rewards","created":"2025-05-05","cited_by_count":14,"area":"lr"},{"id":"2503.14504","title":"Aligning Multimodal LLM with Human Preference: A Survey","created":"2025-03-18","cited_by_count":13,"area":"mllm"},{"id":"2604.20796","title":"LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model","created":"2026-04-22","cited_by_count":13,"area":"diffusion"},{"id":"2503.06260","title":"From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models","created":"2025-03-08","cited_by_count":11,"area":"mllm"},{"id":"2510.23451","title":"Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences","created":"2025-10-27","cited_by_count":11,"area":"alignment"},{"id":"2503.11089","title":"EmbodiedVSR: Dynamic Scene Graph-Guided Chain-of-Thought Reasoning for Visual Spatial Tasks","created":"2025-03-14","cited_by_count":10,"area":"lr"},{"id":"2504.06606","title":"Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program","created":"2025-04-09","cited_by_count":10,"area":"lr"},{"id":"2602.11124","title":"PhyCritic: Multimodal Critic Models for Physical AI","created":"2026-02-11","cited_by_count":10,"area":"mllm"},{"id":"2512.17495","title":"GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation","created":"2025-12-19","cited_by_count":9,"area":null},{"id":"2507.16863","title":"Position: Reasoning After Perception Means Reasoning Without Vision","created":"2025-07-21","cited_by_count":8,"area":"lr"},{"id":"2510.01925","title":"Enhancing Large Language Model Reasoning with Reward Models: An Analytical Survey","created":"2025-10-02","cited_by_count":8,"area":"lr"},{"id":"2511.09907","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","created":"2025-11-13","cited_by_count":8,"area":"lr"},{"id":"2604.25235","title":"VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation","created":"2026-04-28","cited_by_count":8,"area":"mllm"},{"id":"2505.13403","title":"MR. Judge: Multimodal Reasoner as a Judge","created":"2025-05-19","cited_by_count":7,"area":"lr"},{"id":"2512.05145","title":"Self-Improving VLM Judges Without Human Annotations","created":"2025-12-02","cited_by_count":7,"area":"mllm"},{"id":"2602.00846","title":"Omni-RRM: Advancing Omni Reward Modeling via Automatic Rubric-Grounded Preference Synthesis","created":"2026-01-31","cited_by_count":7,"area":"mllm"},{"id":"2602.09305","title":"Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation","created":"2026-02-10","cited_by_count":7,"area":"lr"},{"id":"2505.18601","title":"Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators","created":"2025-05-24","cited_by_count":6,"area":"lr"},{"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":"2603.25108","title":"MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning","created":"2026-03-26","cited_by_count":5,"area":"alignment"},{"id":"2604.13029","title":"Visual Preference Optimization with Rubric Rewards","created":"2026-04-14","cited_by_count":5,"area":"alignment"},{"id":"2608.31075","title":"Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence","created":"2026-08-31","cited_by_count":5,"area":"lr"},{"id":"2504.12589","title":"Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer","created":"2025-04-17","cited_by_count":4,"area":null},{"id":"2505.23693","title":"VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos","created":"2025-05-29","cited_by_count":4,"area":"mllm"},{"id":"2506.13888","title":"VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training","created":"2025-06-16","cited_by_count":4,"area":null},{"id":"2509.21451","title":"VideoJudge: Bootstrapping Enables Scalable Supervision of MLLM-as-a-Judge for Video Understanding","created":"2025-09-25","cited_by_count":4,"area":"synth"},{"id":"2512.10575","title":"RoleRMBench & RoleRM: Towards Reward Modeling for Profile-Based Role Play in Dialogue Systems","created":"2025-12-11","cited_by_count":4,"area":"alignment"},{"id":"2603.16600","title":"Rationale Matters: Learning Transferable Rubrics via Proxy-Guided Critique for VLM Reward Models","created":"2026-03-17","cited_by_count":4,"area":"mllm"},{"id":"2604.18164","title":"MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge","created":"2026-04-20","cited_by_count":4,"area":"mllm"},{"id":"2502.13487","title":"Transferring Textual Preferences to Vision-Language Understanding through Model Merging","created":"2025-02-19","cited_by_count":3,"area":"mllm"},{"id":"2503.13369","title":"Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions","created":"2025-03-17","cited_by_count":3,"area":null},{"id":"2510.16333","title":"RL makes MLLMs see better than SFT","created":"2025-10-18","cited_by_count":3,"area":"mllm"},{"id":"2603.00546","title":"Advancing Multimodal Judge Models through a Capability-Oriented Benchmark and MCTS-Driven Data Generation","created":"2026-02-28","cited_by_count":3,"area":"mllm"},{"id":"2604.17768","title":"When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias","created":"2026-04-20","cited_by_count":3,"area":"mllm"},{"id":"2605.09269","title":"DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification","created":"2026-05-10","cited_by_count":3,"area":"mllm"},{"id":"2503.03122","title":"The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models","created":"2025-03-05","cited_by_count":2,"area":"alignment"},{"id":"2503.09348","title":"MOAT: Evaluating LMMs for Capability Integration and Instruction Grounding","created":"2025-03-12","cited_by_count":2,"area":"mllm"},{"id":"2511.09067","title":"MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique","created":"2025-11-12","cited_by_count":2,"area":"mllm"},{"id":"2512.06751","title":"Becoming Experienced Judges: Selective Test-Time Learning for Evaluators","created":"2025-12-07","cited_by_count":2,"area":null},{"id":"2502.15027","title":"InterFeedback: Unveiling Interactive Intelligence of Large Multimodal Models via Human Feedback","created":"2025-02-20","cited_by_count":1,"area":"mllm"},{"id":"2510.00766","title":"Are Large Vision-Language Models Ready to Guide Blind and Low-Vision Individuals?","created":"2025-10-01","cited_by_count":1,"area":"mllm"},{"id":"2510.21849","title":"TowerVision: Understanding and Improving Multilinguality in Vision-Language Models","created":"2025-10-22","cited_by_count":1,"area":"mllm"},{"id":"2511.21742","title":"EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants","created":"2025-11-21","cited_by_count":1,"area":"agents"},{"id":"2602.01884","title":"Entropy-Guided Data-Efficient Training for Multimodal Reasoning Reward Models","created":"2026-02-02","cited_by_count":1,"area":"lr"},{"id":"2605.07872","title":"Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models","created":"2026-05-08","cited_by_count":1,"area":"lr"},{"id":"2605.31351","title":"VIABLE: A Visually Impaired Assistance Benchmark for VLM-as-a-Judge Evaluation","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2609.29718","title":"PPTBench: Can Coding Agents Reconstruct the Visual World through Structured, Editable Slides","created":"2026-08-31","cited_by_count":1,"area":"agents"},{"id":"2511.12363","title":"Explainable AI-Generated Image Detection RewardBench","created":"2025-11-15","cited_by_count":0,"area":null},{"id":"2601.16987","title":"Evaluating Reward Model Generalization via Pairwise Maximum Discrepancy Competitions","created":"2026-01-05","cited_by_count":0,"area":"alignment"},{"id":"2602.08339","title":"CoTZero: Annotation-Free Human-Like Vision Reasoning via Hierarchical Synthetic CoT","created":"2026-02-09","cited_by_count":0,"area":"lr"},{"id":"2603.00166","title":"Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk?","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2604.10966","title":"You Only Judge Once: Multi-response Reward Modeling in a Single Forward Pass","created":"2026-04-13","cited_by_count":0,"area":"alignment"},{"id":"2606.32034","title":"QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents","created":"2026-06-30","cited_by_count":0,"area":"agents"},{"id":"2607.09776","title":"HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation","created":"2026-07-08","cited_by_count":0,"area":"vla"},{"id":"2608.07920","title":"Forged Peer Judgments Mislead Multimodal LLM Judge Panels: Source-Blind Anchoring and Panel-Consensus Verification","created":"2026-08-08","cited_by_count":0,"area":"mllm"},{"id":"2608.08491","title":"TrustRoboReward: Preference-Ordered Isotonic Score Editing for Multi-Paradigm Robot Reward Models","created":"2026-08-09","cited_by_count":0,"area":"alignment"},{"id":"2608.25580","title":"V-Rubrics: Visual Faithfulness via Rubric-Based Reinforcement Learning","created":"2026-08-26","cited_by_count":0,"area":"lr"},{"id":"2609.03806","title":"SVG-Score: Human-Aligned Evaluation of Text-to-SVG Generation","created":"2026-09-03","cited_by_count":0,"area":"alignment"},{"id":"2609.05401","title":"Same Trajectory, Contradictory Rewards (ROBORMBENCH): Paraphrase Fragility in Vision Language Reward Models","created":"2026-09-04","cited_by_count":0,"area":"mllm"},{"id":"2609.13287","title":"LLaDA-UI: Bringing Block-wise Diffusion to Vision-Language GUI Agents","created":"2026-09-09","cited_by_count":0,"area":"agents"},{"id":"2609.33399","title":"SciGen-Verifier: A Multimodal Reasoner for Explainable Verification in Scientific Image Generation","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2610.00111","title":"A Low Grounding Score Is Not an Ungrounded Judge: Identifying the Perceptibility Confound in Multimodal Oversight","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2610.12707","title":"Unsupervised Multimodal Reward Modeling","created":"2026-10-08","cited_by_count":0,"area":"alignment"}],"next_cursor":null}