arXiv Machine Learning By Ting Gong, Michael Ruofan Zeng, Yong Yang

Albilich: Steerable Proof-State Orchestration for LLM-Based Mathematical Research with CAS Integration

Read the original on arXiv Machine Learning →

arXiv:2607. 27705v1 Announce Type: cross Abstract: Large language models can contribute useful ideas to mathematical research, yet long-horizon proof attempts remain difficult to coordinate, evaluate, and reproduce.

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