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Author

Wen-Han Liu

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2 papers indexed here

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Preprint Oct 2026

GistRank: Gist-Compressed Listwise Ranking with Large Language Models

Large language models (LLMs) have become a powerful tool for listwise relevance ranking, which can improve web search by comparing retrieved passages jointly. However, processing every candidate verbatim and generating a permutation autoregressively can make inference costly, every candidate must be serialized verbatim...

Guo Chen, Wen-Han Liu, Reed Li et al. · 0 citations
Conference Open access Sep 2026

QReason: Query-Focused Decoupled Chain-of-Thought for Efficient Passage Reranking

Passage reranking plays a crucial role in information retrieval by refining the ordering of candidate passages to better reflect relevance. Existing listwise LLM rerankers with Chain-of-Thought (CoT) reasoning can handle complex queries effectively, but they suffer from substantial redundancy and high latency due to sl...

Yang Zhang, Wen-Han Liu, Qian-Nan Zhu et al. · 0 citations

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