Author

Xi-Meng Liu

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Preprint Aug 2026

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets

Janus is introduced, a framework that uses LLMs to co-evolve target programs and executable proxy evaluators to address label scarcity and extend evaluator-guided LLM discovery from tasks with cheap, scalable feedback to scientific domains where trustworthy evaluation is scarce and expensive.

Xi-Meng Liu, Qianlong Wang, Ying-Ming Mao et al. · 2 citations