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20212026
most citedA Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models

57 citations · 263 across the 45 of their papers we have counts for

collaborators

45 papers

cs.IR2026

ITER: Interaction-Aware Retrieval for Agentic Search

Haodong Chen, Shuai Wang, Yu Yin +3

Deep-research agents answer complex user questions through an iterative sequence of search steps, where the agent autonomously formulates sub-queries to retrieve the evidence neede…

cs.IR2026

Search, Inspect, Fetch: Exploiting Structure-Aware Boolean Retrieval for Deep-Search Agents

Shuai Wang, Haodong Chen, Yu Yin +3

Existing deep-search agents use a Search-Visit workflow that retrieves whole webpages without considering the structure they expose through titles, headings, sections, and metadata…

cs.IR2026

DiffRetriever: Parallel Representative Tokens for Retrieval with Diffusion Language Models

Shuai Wang, Yu Yin, Shengyao Zhuang +2

This paper shows how diffusion language models (DLMs) can be used as effective and efficient retrievers. Existing DLM-based retrievers (e.g., DiffEmbed) follow BERT-style encoding,…

cs.IR2026★ 1 cited

Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking

Haodong Chen, Shengyao Zhuang, Zheng Yao +2

Zero-shot document re-ranking with Large Language Models (LLMs) has evolved from Pointwise methods to Listwise and Setwise approaches that optimize computational efficiency. Despit…

cs.IR2025

MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed

Jiaqi Samantha Zhan, Crystina Zhang, Shengyao Zhuang +2

Effective video retrieval remains challenging due to the complexity of integrating visual, auditory, and textual modalities. In this paper, we explore unified retrieval methods usi…

cs.IR2025

Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality

Xueguang Ma, Luyu Gao, Shengyao Zhuang +3

Recent advancements in large language models (LLMs) have driven interest in billion-scale retrieval models with strong generalization across retrieval tasks and languages. Addition…