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cs.CL2026
FGSS-BO: Feedback-Guided Hypothesis Management for LLM-Based Bayesian Optimization
Hao Chen, Ziyang Ling, Ronald X. Xu +1
Large language model (LLM)-guided Bayesian optimization (BO) uses past observations to guide search, but proposed directions and their revision can remain implicit. We propose Feed…
cs.CL2026
Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
Hao Chen, Ye He, Yuchun Fan +5
Knowledge augmentation has significantly enhanced the performance of Large Language Models (LLMs) in knowledge-intensive tasks. However, existing methods typically operate on the s…