3 papers
cs.LG2026
Learning to Trade Like an Expert: Cognitive Fine-Tuning for Stable Financial Reasoning in Language Models
Yuchen Pan, Soung Chang Liew
Recent deployments of large language models (LLMs) as autonomous trading agents raise questions about whether financial decision-making competence generalizes beyond specific marke…
cs.CL2025
MedTrust-RAG: Evidence Verification and Trust Alignment for Biomedical Question Answering
Yingpeng Ning, Yuanyuan Sun, Ling Luo +3
Biomedical question answering (QA) requires accurate interpretation of complex medical knowledge. Large language models (LLMs) have shown promising capabilities in this domain, wit…
cs.CL2025
A Unified Biomedical Named Entity Recognition Framework with Large Language Models
Tengxiao Lv, Ling Luo, Juntao Li +9
Accurate recognition of biomedical named entities is critical for medical information extraction and knowledge discovery. However, existing methods often struggle with nested entit…