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…Closing this gap requires both laboratory-specific supervision and a unified learning framework that can accommodate the diverse robot embodiments used to execute experimental protocols. We therefore identify data and embodiment as…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Unified multimodal models (UMMs) have emerged as a promising paradigm for general-purpose multimodal intelligence. As they are deployed in real-world applications, effectively…
…Rui Cai , , Xiaofei Wen , , , , , Abstract ModelLens is a unified framework that recommends models in real-world scenarios by learning from public leaderboard data to rank unseen models on unseen datasets without requiring…
…These results establish SDG as a unified, instance-level interface for diagnosing, evaluating, and enhancing modern generative models. View arXiv page View PDF Project page GitHub 6 Add to collection Community All…
…To study reducing this gap, we build a unified TVR post-training framework covering expert-trajectory SFT , rationale-supervised CoT-SFT , offline Single-turn GRPO , and on-policy Multi-turn GRPO from…
…To this end, we introduce a simple and effective predictive reconstruction objective that unifies predictive learning with video reconstruction . Specifically, we randomly discard future frames and encode only partial past observations, while…
Papers arxiv:2604.27083 Co-Evolving Policy Distillation Published on Apr 29 Submitted by steven young on May 1 #3 Paper of the day Authors: , , , , , , , , , Abstract Co-Evolving Policy Distillation enables unified…
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