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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Jingfen Qiao

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Review Jun 2026

Report on the Search Futures Workshop at ECIR 2026

The Third Search Futures Workshop [Azzopardi et al., 2026], in conjunction with the Forty-eight European Conference on Information Retrieval (ECIR) 2026, looked into the future of search to ask questions such as: • How can we navigate data privacy in large language model (LLM)-based information retrieval (IR)? • How ca...

Leif Azzopardi, Charles L. A. Clarke, C. Hauff et al. · 1 citation
#artificial intelligence Review Sep 2026

Overview of the TREC 2025 Million Large Language Models track

The TREC Million LLM Track operationalizes a retrieval-based paradigm in which an assistant agent infers expertise dynamically by examining models'observable behavior, providing the first large-scale benchmark for expertise retrieval in agentic AI.

Evangelos Kanoulas, Panagiotis Eustratiadis, Jamie Callan et al. · 0 citations
Book Open access Jul 2026

Better than Dense? Investigating the Natural Backward Compatibility of Learned Sparse Representations

This work investigates whether Learned Sparse Retrieval (LSR) can mitigate this backward compatibility issue, and explores lightweight query adaptation methods including ranking fusion, representation fusion, and minimal-training adapters to further improve compatibility.

Jingfen Qiao, Gabrielle Poerwawinata, Thong Nguyen et al. · 0 citations

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