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

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

astro-ph.SR2026

Evidence for Dynamical Filtering: High Binary Fraction, Hard-binary Excess, and Unresolved Triples in the Surviving Core of NGC 6791

Huanbin Chi, Zhi Li, Feng Wang +4

We present a deep photometric analysis of the main-sequence (MS) population in the old, metal-rich open cluster (OC) NGC 6791 using Gaia Data Release 3 data. After correcting for d…

cs.IR2026

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

Shuai Wang, Haodong Chen, Yu Yin +3

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

cs.IR2026

Whole-Pool Setwise Reranking with Long-Context Language Models

Hang Li, Chuting Yu, Teerapong Leelanupab +2

Previous LLM-based passage re-rankers are often expensive and slow because the input context constraints require the LLM to make many dependent model calls. We study how recent lon…

cs.IR2026

On the impact of retrieved content representations in RAG Pipelines

Jonathan J Ross, Bevan Koopman, Anton van der Vegt +1

Retrieval-Augmented Generation (RAG) supplements a language model's input with retrieved documents, yet most RAG pipelines inherit retrieval components designed for human readers.…

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

When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment

Chuting Yu, Hang Li, Guido Zuccon +2

Human relevance assessment is time-consuming and cognitively intensive, limiting the scalability of Information Retrieval evaluation. This has led to growing interest in using larg…