Feihu Che — accepted AI-conference papers

2025

Code-switching Mediated Sentence-level Semantic Learning

Shuai Zhang, Jiangyan Yi, Zhengqi Wen, Jianhua Tao, Feihu Che, Jinyang Wu +1

AAAI 2025technical

Code-switching is a linguistic phenomenon in which different languages are used interactively during conversation. It poses significant performance challenges to natural language processing (NLP) tasks due to the often monolingual nature of the underlying system. We focus on sentence-level semantic…

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2025

Pandora’s Box or Aladdin’s Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models

Jinyang Wu, Shuai Zhang, Feihu Che, Mingkuan Feng, Pengpeng Shao, Jianhua Tao

ACL 2025long

Retrieval-Augmented Generation (RAG) has emerged as a crucial method for addressing hallucinations in large language models (LLMs). While recent research has extended RAG models to complex noisy scenarios, these explorations often confine themselves to limited noise types and presuppose that noise i…

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