5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CL2025
RPRO: Ranked Preference Reinforcement Optimization for Enhancing Medical QA and Diagnostic Reasoning
Chia-Hsuan Hsu, Jun-En Ding, Hsin-Ling Hsu +5
Medical question answering requires advanced reasoning that integrates domain knowledge with logical inference. However, existing large language models (LLMs) often generate reason…
cs.IR2025
KAP: MLLM-assisted OCR Text Enhancement for Hybrid Retrieval in Chinese Non-Narrative Documents
Hsin-Ling Hsu, Ping-Sheng Lin, Jing-Di Lin +1
Hybrid Retrieval systems, combining Sparse and Dense Retrieval methods, struggle with Traditional Chinese non-narrative documents due to their complex formatting, rich vocabulary,…
cs.IR2025★ 5 cited
DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation
Hsin-Ling Hsu, Jengnan Tzeng
Hybrid retrieval techniques in Retrieval-Augmented Generation (RAG) systems enhance information retrieval by combining dense and sparse (e.g., BM25-based) retrieval methods. Howeve…