{"total":37,"rows":[{"id":"2506.01844","title":"SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics","created":"2025-06-02","cited_by_count":530,"area":"mllm"},{"id":"2306.09265","title":"LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models","created":"2023-06-15","cited_by_count":217,"area":"mllm"},{"id":"2402.03681","title":"RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback","created":"2024-02-06","cited_by_count":156,"area":"mllm"},{"id":"2501.16664","title":"Improving Vision-Language-Action Model with Online Reinforcement Learning","created":"2025-01-28","cited_by_count":116,"area":"mllm"},{"id":"2510.07077","title":"Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications","created":"2025-10-08","cited_by_count":84,"area":"mllm"},{"id":"2402.03610","title":"RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents","created":"2024-02-06","cited_by_count":80,"area":"mllm"},{"id":"2410.05273","title":"HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers","created":"2024-09-12","cited_by_count":75,"area":"mllm"},{"id":"2509.19012","title":"Pure Vision Language Action (VLA) Models: A Comprehensive Survey","created":"2025-09-23","cited_by_count":49,"area":"mllm"},{"id":"2412.08442","title":"From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons","created":"2024-12-11","cited_by_count":42,"area":"mllm"},{"id":"2402.04764","title":"Code as Reward: Empowering Reinforcement Learning with VLMs","created":"2024-02-07","cited_by_count":39,"area":"mllm"},{"id":"2406.07904","title":"Grounding Multimodal Large Language Models in Actions","created":"2024-06-12","cited_by_count":35,"area":"mllm"},{"id":"2406.00645","title":"FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning","created":"2024-06-02","cited_by_count":26,"area":"mllm"},{"id":"2403.16998","title":"Understanding Long Videos with Multimodal Language Models","created":"2024-03-25","cited_by_count":25,"area":"mllm"},{"id":"2411.05273","title":"Real-World Offline Reinforcement Learning from Vision Language Model Feedback","created":"2024-11-08","cited_by_count":22,"area":"mllm"},{"id":"2506.20966","title":"Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends","created":"2025-06-26","cited_by_count":17,"area":"mllm"},{"id":"2306.10169","title":"Meta-Personalizing Vision-Language Models to Find Named Instances in Video","created":"2023-06-16","cited_by_count":16,"area":"mllm"},{"id":"2506.12822","title":"Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models","created":"2025-06-15","cited_by_count":15,"area":"mllm"},{"id":"2507.12644","title":"VLMgineer: Vision Language Models as Robotic Toolsmiths","created":"2025-07-16","cited_by_count":10,"area":"mllm"},{"id":"2605.12369","title":"GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization","created":"2026-05-12","cited_by_count":10,"area":"mllm"},{"id":"2503.13817","title":"VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences","created":"2025-03-18","cited_by_count":9,"area":"mllm"},{"id":"2409.15922","title":"The Dark Side of Rich Rewards: Understanding and Mitigating Noise in VLM Rewards","created":"2024-09-24","cited_by_count":7,"area":"mllm"},{"id":"2412.11484","title":"Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents","created":"2024-12-16","cited_by_count":6,"area":"mllm"},{"id":"2401.14502","title":"MResT: Multi-Resolution Sensing for Real-Time Control with Vision-Language Models","created":"2024-01-25","cited_by_count":5,"area":"mllm"},{"id":"2502.01218","title":"Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents","created":"2025-02-03","cited_by_count":4,"area":"mllm"},{"id":"2507.23391","title":"Policy Learning from Large Vision-Language Model Feedback without Reward Modeling","created":"2025-07-31","cited_by_count":4,"area":"mllm"},{"id":"2506.16396","title":"GoalLadder: Incremental Goal Discovery with Vision-Language Models","created":"2025-06-19","cited_by_count":3,"area":"mllm"},{"id":"2601.22714","title":"Vision-Language Models Unlock Task-Centric Latent Actions","created":"2026-01-30","cited_by_count":3,"area":"mllm"},{"id":"2605.00347","title":"Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning","created":"2026-05-01","cited_by_count":3,"area":"mllm"},{"id":"2605.17144","title":"Contrastive Conceptor Activation Steering (COAST): Unlocking Vision-Language-Action Models through Hidden States","created":"2026-05-16","cited_by_count":3,"area":"mllm"},{"id":"2606.27180","title":"Automating Potential-based Reward Shaping with Vision Language Model Guidance","created":"2026-06-25","cited_by_count":2,"area":"mllm"},{"id":"2409.16024","title":"From Goal-Conditioned to Language-Conditioned Agents via Vision-Language Models","created":"2024-09-24","cited_by_count":0,"area":"mllm"},{"id":"2607.00483","title":"VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning","created":"2026-07-01","cited_by_count":0,"area":"mllm"},{"id":"2607.01721","title":"CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning","created":"2026-07-02","cited_by_count":0,"area":"mllm"},{"id":"2608.25350","title":"Beyond Pairwise Feedback: Listwise Vision-Language Supervision for Preference-Based Reward Learning","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":"2609.29382","title":"Decoupled Early Exits for Task-Dependent Compute Allocation in Flow-Matching VLAs","created":"2026-09-24","cited_by_count":0,"area":"mllm"},{"id":"2610.02161","title":"DuoMind: Enabling Distributed Multi-Robot Coordination with Semantic Communication","created":"2026-10-01","cited_by_count":0,"area":"mllm"}],"next_cursor":null}