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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
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…
cs.CL2026
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…