{"total":18,"rows":[{"id":"2502.09560","title":"EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents","created":"2025-02-13","cited_by_count":221,"area":"mllm"},{"id":"2506.06677","title":"RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation","created":"2025-06-07","cited_by_count":34,"area":"mllm"},{"id":"2510.17801","title":"Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain","created":"2025-10-20","cited_by_count":25,"area":"mllm"},{"id":"2510.10991","title":"A Survey on Agentic Multimodal Large Language Models","created":"2025-10-13","cited_by_count":23,"area":"mllm"},{"id":"2602.15397","title":"ActionCodec: What Makes for Good Action Tokenizers","created":"2026-02-17","cited_by_count":18,"area":"mllm"},{"id":"2506.08708","title":"PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly","created":"2025-06-10","cited_by_count":7,"area":"mllm"},{"id":"2509.21576","title":"Vision Language Models Cannot Plan, but Can They Formalize?","created":"2025-09-25","cited_by_count":3,"area":"mllm"},{"id":"2606.31966","title":"MECoBench: A Systematic Study of Multimodal Agent Collaboration in Embodied Environments","created":"2026-06-30","cited_by_count":3,"area":"mllm"},{"id":"2503.09348","title":"MOAT: Evaluating LMMs for Capability Integration and Instruction Grounding","created":"2025-03-12","cited_by_count":2,"area":"mllm"},{"id":"2512.04308","title":"ResponsibleRobotBench: Benchmarking Responsible Robot Manipulation using Multi-modal Large Language Models","created":"2025-12-03","cited_by_count":2,"area":"mllm"},{"id":"2604.14785","title":"MirrorBench: Evaluating Self-centric Intelligence in MLLMs by Introducing a Mirror","created":"2026-04-16","cited_by_count":0,"area":"mllm"},{"id":"2605.26256","title":"Personalizing Embodied Multimodal Large Language Model Agents over Long-term User Interactions","created":"2026-05-25","cited_by_count":0,"area":"mllm"},{"id":"2606.26348","title":"What We are Missing in Multimodal LLM Evaluation?","created":"2026-06-24","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":"2609.08224","title":"3DWay: Generalizing Robot Manipulation via 3D Consistent Waypoints","created":"2026-09-08","cited_by_count":0,"area":"mllm"},{"id":"2609.08602","title":"CLAMP: Constrained Decoding for Vision-Language Embodied Planning","created":"2026-09-08","cited_by_count":0,"area":"mllm"},{"id":"2609.14973","title":"PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models","created":"2026-09-14","cited_by_count":0,"area":"mllm"},{"id":"2610.00854","title":"Are Frontier VLM Agents Ready to Be Robot Generalists? An Empirical Study with the Embodied Agent Arena","created":"2026-10-01","cited_by_count":0,"area":"mllm"}],"next_cursor":null}