Author

Hui Chen

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#artificial intelligence Preprint Oct 2026

FrugalEvo: Towards Cost-Aware LLM-Guided Program Evolution

LLM-guided evolutionary methods, such as AlphaEvolve, have emerged as powerful approaches for challenging computational optimization problems, such as circle packing. However, prior work typically optimizes performance gain over a fixed number of iterations. We argue that practical optimization should maximize gain per...

Hui Chen, Xuan Qi, J. Zhao et al. · 0 citations

#natural language process... May 2026

FineVerify: Scaling Test-Time Compute with Fine-Grained Self-Verification for Agentic Search

This work proposes FineVerify, a fine-grained self-verification framework that decomposes each question into checkable sub-questions, verifies sampled candidates against each sub-question, and selects the candidate with the highest aggregated score.

J. Zhao, Hui Chen, Bryan Hooi et al. · arXiv.org · 2 citations