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20242026
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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

Reproducing LightMem: Naive RAG Is Just as Good for Memory Management

Yongjie Zhou, Shuai Wang, Bevan Koopman +1

Long-term conversational agents require access to information from earlier interactions, such as a user's preferences, past requests, or previously mentioned facts. Repeatedly prov…

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

Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Chunking Strategies for Information Retrieval

Yongjie Zhou, Shuai Wang, Bevan Koopman +1

Document chunking is a critical preprocessing step in dense retrieval systems, yet the design space of chunking strategies remains poorly understood. Recent research has proposed s…