Evaluated on diverse mathematical, algorithmic, and systems optimization tasks, CORAL sets new state-of-the-art results on 10 tasks, achieving 3-10 times higher improvement rates with far fewer evaluations than fixed evolutionary search baselines across tasks.
Ao Qu, Handi Zheng, Zi-Jian Zhou et al.· arXiv.org· 38 citations· ⚡7
SPADE (Self-Play in Adaptive Synthetic Executable Executable Environments), a self-play RL framework in which a single LLM plays two roles: an Environment Designer that writes complete, long-horizon training environments as executable code with an OpenAI Gym-style reset()/step() interface, and a Reasoning Agent that le...
Bo Liu, Simon Yu, Yiding Jiang et al.· 5 citations
MineDraft, a batch parallel speculative decoding framework designed to effectively hide drafting latency by overlapping it with verification, is proposed, and the theoretical analysis shows that PSD is substantially more efficient than standard SD.
Zhenwei Tang, A. Verma, Zijian Zhou et al.· arXiv.org· 2 citations
SPADE (Self-Play in Adaptive Synthetic Executable Executable Environments), a self-play RL framework in which a single LLM plays two roles: an Environment Designer that writes complete, long-horizon training environments as executable code with an OpenAI Gym-style reset()/step() interface, and a Reasoning Agent that le...
Bo Liu, Simon Yu, Yiding Jiang et al.· 1 citation
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