most citedExLLM: Experience-Enhanced LLM Optimization for Molecular Design and Beyond

2 citations · 2 across the 5 of their papers we have counts for

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cs.AI2026

OPTScientist: Multi-Agent Discovery of Typed Optimizer Programs for Transformer Pretraining

Zhongzheng Li, Tiancan Feng, Wenhao Li +5

Designing optimizers for modern deep learning remains a challenging scientific problem, requiring the joint consideration of optimization geometry, state dynamics, numerical stabil…