All Stories

  1. Query Performance Prediction Using Neural Query Space Proximity
  2. ProActLLM: Proactive Conversational Information Seeking with Large Language Models
  3. Building Trustworthy Peer Review Quality Assessment Systems
  4. RottenReviews: Benchmarking Review Quality with Human and LLM-Based Judgments
  5. A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance Judgment
  6. VAP3: Variation-Aware Prompt Performance Prediction
  7. IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents
  8. Benchmarking LLM-based Relevance Judgment Methods
  9. Query Performance Prediction: Theory, Techniques and Applications
  10. Query Performance Prediction: Techniques and Applications in Modern Information Retrieval
  11. Evaluating Relative Retrieval Effectiveness with Normalized Residual Gain
  12. Offline Evaluation of Set-Based Text-to-Image Generation
  13. Reviewerly: Modeling the Reviewer Assignment Task as an Information Retrieval Problem
  14. Enhanced Retrieval Effectiveness through Selective Query Generation
  15. Retrieving Supporting Evidence for Generative Question Answering
  16. Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers
  17. A is for Adele: An Offline Evaluation Metric for Instant Search
  18. Quantifying Ranker Coverage of Different Query Subspaces
  19. A Preference Judgment Tool for Authoritative Assessment
  20. Gender Fairness in Information Retrieval Systems
  21. Addressing Gender-related Performance Disparities in Neural Rankers
  22. Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection
  23. MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries
  24. Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation
  25. BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction
  26. On the Orthogonality of Bias and Utility in Ad hoc Retrieval
  27. Geometric Estimation of Specificity within Embedding Spaces