4 papers · 1 filter
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…
From Hindsight to Foresight: Dissecting Clinical Evidence Acquisition in Large Language Models
Ziyang Ling
Large language models (LLMs) often diagnose full sight, static clinical cases well yet struggle in foresight, dynamic diagnosis. Prior work has improved this limitation by quantify…
Training-Free BioNEL-RAG: Advancing Biomedical Entity Linking through Retrieval-Augmented Generation and Large Language Model
Ziyi Chen, Hui Liu, Ziyang Ling +2
Biomedical Named Entity Linking (BioNEL) is the task of mapping mentions extracted from biomedical texts to canonical entities or concepts in the standardized knowledge base. Altho…
THOR: A Theta-Gamma Hierarchical Oscillatory Reasoning Framework for Multi-hop QA
Ziyang Ling, Ronald X. Xu, Mingzhai Sun
Multi-hop question answering requires retrieving and integrating evidence from multiple contexts. Despite the rapid progress of current research, multi-hop reasoning remains constr…