RoboColosseum: Evaluating Physical Intelligence at Scale In-The-Wild
Paper • 2611.02497 • Published • 48
Fu-En Yang
FuEnYang
AI & ML interests
Computer Vision, Deep Learning, Vision-Language Models (VLMs), Vision-Language-Action Models (VLAs), Reasoning Models, Embodied AI
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RoboColosseum: Evaluating Physical Intelligence at Scale In-The-Wild authored a paper 1 day ago
DreamX: Video Diffusion Model is a Universal Latent Action Learner upvoted a paper 1 day ago
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papers about 1 month ago
Rethinking Latent Visual Reasoning: Grounding Latent Reasoning in Visual Evidence
Paper • 2609.34563 • Published • 23
False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents
Paper • 2609.39102 • Published • 150
AREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks
Paper • 2609.38288 • Published • 88
EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discovery
Paper • 2609.40340 • Published • 91
UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement
Paper • 2609.38721 • Published • 134
Omni-IO Skills: Harnessing Your Agent Omni-Native
Paper • 2609.31847 • Published • 71
In-Context Learning for Robots: Methods and Applications
Paper • 2609.36012 • Published • 90
Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents
Paper • 2609.39982 • Published • 95
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papers 5 months ago
World Action Models: A Survey
Paper • 2606.20781 • Published • 59
KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking
Paper • 2606.22807 • Published • 50
EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions
Paper • 2606.23654 • Published • 81
PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems
Paper • 2606.22388 • Published • 93
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