All Stories

  1. Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
  2. Training Dense Retrievers with Multiple Positive Passages
  3. Proceedings of the 2026 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)
  4. Beyond Relevance: Utility-Centric Retrieval in the LLM Era
  5. Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning
  6. Attention Grounded Enhancement for Visual Document Retrieval
  7. Report on the 3rd ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR-AP 2025)
  8. How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
  9. Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region
  10. Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation
  11. Bridging Queries and Tables through Entities in Open-Domain Table Retrieval
  12. Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance
  13. CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval
  14. A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval
  15. A Comparative Study of Training Objectives for Clarification Facet Generation
  16. L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations