3 papers
cs.CL2026
Logic-Oriented Retriever Enhancement via Contrastive Learning
Wenxuan Zhang, Yuan-Hao Jiang, Changyong Qi +2
Large language models (LLMs) struggle in knowledge-intensive tasks, as retrievers often overfit to surface similarity and fail on queries involving complex logical relations. The c…
cs.CL2026
FreeChunker: A Cross-Granularity Chunking Framework
Wenxuan Zhang, Yuan-Hao Jiang, Yang Cao +1
Chunking strategies significantly impact the effectiveness of Retrieval-Augmented Generation (RAG) systems. Existing methods operate within fixed-granularity paradigms that rely on…
cs.IR2025
OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis
Jinglin He, Yunqi Guo, Lai Kwan Lam +6
Traditional Chinese Medicine (TCM) represents a rich repository of ancient medical knowledge that continues to play an important role in modern healthcare. Due to the complexity an…