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.MA2024
AI Agent for Education: von Neumann Multi-Agent System Framework
Yuan-Hao Jiang, Ruijia Li, Yizhou Zhou +5
The development of large language models has ushered in new paradigms for education. This paper centers on the multi-Agent system in education and proposes the von Neumann multi-Ag…