{"total":65,"rows":[{"id":"2508.11630","title":"Thyme: Think Beyond Images","created":"2025-08-15","cited_by_count":167,"area":"lr"},{"id":"2509.02479","title":"SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning","created":"2025-09-02","cited_by_count":146,"area":"lr"},{"id":"2505.04921","title":"Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models","created":"2025-05-08","cited_by_count":90,"area":"lr"},{"id":"2509.01563","title":"Kwai Keye-VL 1.5 Technical Report","created":"2025-09-01","cited_by_count":73,"area":"mllm"},{"id":"2506.00103","title":"Writing-Zero: Bridge the Gap Between Non-verifiable Tasks and Verifiable Rewards","created":"2025-05-30","cited_by_count":50,"area":"alignment"},{"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":"2505.22596","title":"SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning","created":"2025-05-28","cited_by_count":31,"area":"lr"},{"id":"2512.02395","title":"Skywork-R1V4: Toward Agentic Multimodal Intelligence through Interleaved Thinking with Images and DeepResearch","created":"2025-12-02","cited_by_count":27,"area":"agents"},{"id":"2506.04280","title":"Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark","created":"2025-06-04","cited_by_count":21,"area":"lr"},{"id":"2508.08039","title":"Audio-Thinker: Guiding Audio Language Model When and How to Think via Reinforcement Learning","created":"2025-08-11","cited_by_count":19,"area":"lr"},{"id":"2509.16127","title":"BaseReward: A Strong Baseline for Multimodal Reward Model","created":"2025-09-19","cited_by_count":15,"area":"mllm"},{"id":"2509.18056","title":"TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs","created":"2025-09-22","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":"2505.18536","title":"Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models","created":"2025-05-24","cited_by_count":14,"area":"lr"},{"id":"2512.05111","title":"ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning","created":"2025-12-04","cited_by_count":13,"area":"lr"},{"id":"2508.03556","title":"VRPRM: Process Reward Modeling via Visual Reasoning","created":"2025-08-05","cited_by_count":11,"area":"lr"},{"id":"2602.11124","title":"PhyCritic: Multimodal Critic Models for Physical AI","created":"2026-02-11","cited_by_count":10,"area":"mllm"},{"id":"2512.02361","title":"VACoT: Rethinking Visual Data Augmentation with VLMs","created":"2025-12-02","cited_by_count":9,"area":"lr"},{"id":"2603.25077","title":"Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs","created":"2026-03-26","cited_by_count":9,"area":"lr"},{"id":"2505.24499","title":"Reason-SVG: Enhancing Structured Reasoning for Vector Graphics Generation with Reinforcement Learning","created":"2025-05-30","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":"2511.22998","title":"TIM-PRM: Verifying multimodal reasoning with Tool-Integrated PRM","created":"2025-11-28","cited_by_count":8,"area":"lr"},{"id":"2508.05498","title":"GRAIL:Learning to Interact with Large Knowledge Graphs for Retrieval Augmented Reasoning","created":"2025-08-07","cited_by_count":7,"area":"lr"},{"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":"2508.05613","title":"Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models","created":"2025-08-07","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":"2511.19356","title":"Rethinking Reward Signals in Video GRPO: When Scores Become Targets","created":"2025-11-24","cited_by_count":6,"area":null},{"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":"2604.08905","title":"StaRPO: Stability-Augmented Reinforcement Policy Optimization","created":"2026-04-10","cited_by_count":5,"area":"lr"},{"id":"2605.05965","title":"Beyond Uniform Credit Assignment: Selective Eligibility Traces for RLVR","created":"2026-05-07","cited_by_count":5,"area":"lr"},{"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":"2505.16401","title":"Divide-Fuse-Conquer: Eliciting \"Aha Moments\" in Multi-Scenario Games","created":"2025-05-22","cited_by_count":4,"area":"lr"},{"id":"2512.08980","title":"Training Multi-Image Vision Agents via End2End Reinforcement Learning","created":"2025-12-05","cited_by_count":4,"area":"lr"},{"id":"2602.21743","title":"Enhancing Multi-Modal LLMs Reasoning via Difficulty-Aware Group Normalization","created":"2026-02-25","cited_by_count":4,"area":"lr"},{"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":"2604.24583","title":"Improving Vision-language Models with Perception-centric Process Reward Models","created":"2026-04-27","cited_by_count":4,"area":"lr"},{"id":"2605.22104","title":"OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization","created":"2026-05-21","cited_by_count":4,"area":null},{"id":"2601.04033","title":"Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Model","created":"2026-01-07","cited_by_count":3,"area":"alignment"},{"id":"2602.07533","title":"Joint Reward Modeling: Internalizing Chain-of-Thought for Efficient Visual Reward Models","created":"2026-02-07","cited_by_count":3,"area":"lr"},{"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":"2603.08706","title":"Agentic Critical Training","created":"2026-03-09","cited_by_count":3,"area":"agents"},{"id":"2604.24339","title":"See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection","created":"2026-04-27","cited_by_count":3,"area":"lr"},{"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":"2508.21430","title":"Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models","created":"2025-08-29","cited_by_count":2,"area":"mllm"},{"id":"2510.00078","title":"Adaptive and Resource-efficient Agentic AI Systems for Mobile and Embedded Devices: A Survey","created":"2025-09-30","cited_by_count":2,"area":"lr"},{"id":"2601.20327","title":"CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria","created":"2026-01-28","cited_by_count":2,"area":"alignment"},{"id":"2606.09064","title":"See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video Understanding","created":"2026-06-08","cited_by_count":2,"area":"lr"},{"id":"2510.03323","title":"Enhancing Agentic Textual Graph Retrieval with Synthetic Stepwise Supervision","created":"2025-10-01","cited_by_count":1,"area":"agents"},{"id":"2510.10509","title":"MARS-Sep: Multimodal-Aligned Reinforced Sound Separation","created":"2025-10-12","cited_by_count":1,"area":"alignment"},{"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":"2602.04145","title":"Training Data Efficiency in Multimodal Process Reward Models","created":"2026-02-04","cited_by_count":1,"area":"lr"},{"id":"2603.00963","title":"Stabilizing Policy Optimization via Logits Convexity","created":"2026-03-01","cited_by_count":1,"area":null},{"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":"2605.09422","title":"Perception Without Engagement: Dissecting the Causal Discovery Deficit in LMMs","created":"2026-05-10","cited_by_count":1,"area":"mllm"},{"id":"2607.28225","title":"FaithEyes: Towards Faithful Tool Use via Multi-Agent Process-Image Verification","created":"2026-07-30","cited_by_count":1,"area":"lr"},{"id":"2510.15317","title":"VERITAS: Leveraging Vision Priors and Expert Fusion to Improve Multimodal Data","created":"2025-10-17","cited_by_count":0,"area":"mllm"},{"id":"2511.06722","title":"Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View","created":"2025-11-10","cited_by_count":0,"area":"lr"},{"id":"2601.18588","title":"Stability as a Liability:Systematic Breakdown of Linguistic Structure in LLMs","created":"2026-01-26","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":"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":"2605.25437","title":"Does Seeing More Mean Knowing More? Mono-Anchored Advantage Normalization for Multi-Source Visual Reasoning","created":"2026-05-25","cited_by_count":0,"area":"lr"},{"id":"2607.22632","title":"VlogReward: Learning Multi-Dimensional Evaluation for Vlog Editing","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2608.25580","title":"V-Rubrics: Visual Faithfulness via Rubric-Based Reinforcement Learning","created":"2026-08-26","cited_by_count":0,"area":"lr"},{"id":"2608.29804","title":"Beyond Global Realism: Virtual Try-On Evaluation and Optimization with Dimension-wise Garment Fidelity Assessment","created":"2026-08-30","cited_by_count":0,"area":null}],"next_cursor":null}