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Query Performance Prediction Using Relevance Judgments Generated by Large Language Models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-15712-8_41openalex-snapshot
Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval
inferredcites →https://doi.org/10.1007/978-3-030-72113-8_8openalex-snapshot
An Enhanced Evaluation Framework for Query Performance Prediction
inferredcites →https://doi.org/10.1007/978-3-030-72240-1_15openalex-snapshot
Query Performance Prediction Through Retrieval Coherency
inferredcites →https://doi.org/10.1007/978-3-030-99736-6_15openalex-snapshot
An Analysis of Variations in the Effectiveness of Query Performance Prediction
inferredcites →https://doi.org/10.1007/978-3-030-99739-7_8openalex-snapshot
Groupwise Query Performance Prediction with BERT
inferredcites →https://doi.org/10.1007/978-3-031-28244-7_15openalex-snapshot
Query Performance Prediction for Neural IR: Are We There Yet?
inferredcites →https://doi.org/10.1007/978-3-031-28244-7_20openalex-snapshot
Bootstrapped nDCG Estimation in the Presence of Unjudged Documents
inferredcites →https://doi.org/10.1007/978-3-031-56069-9_51openalex-snapshot
Query Performance Prediction: From Fundamentals to Advanced Techniques
inferredcites →https://doi.org/10.1007/978-3-031-88708-6_13openalex-snapshot
Improving the Reusability of Conversational Search Test Collections
inferredcites →https://doi.org/10.1007/978-3-031-88708-6_25openalex-snapshot
Zero-Shot and Efficient Clarification Need Prediction in Conversational Search
inferredcites →https://doi.org/10.1007/978-3-031-88720-8_49openalex-snapshot
QPP++ 2025: Query Performance Prediction and Its Applications in the Era of Large Language Models
inferredcites →https://doi.org/10.1007/978-3-540-24752-4_10openalex-snapshot
Query Difficulty, Robustness, and Selective Application of Query Expansion
inferredcites →https://doi.org/10.1007/978-3-540-71496-5_20openalex-snapshot
Query Hardness Estimation Using Jensen-Shannon Divergence Among Multiple Scoring Functions
inferredcites →https://doi.org/10.1007/s10791-016-9282-6openalex-snapshot
The effect of pooling and evaluation depth on IR metrics
inferredcites →https://doi.org/10.1016/j.ins.2023.119015openalex-snapshot
Learning to rank and predict: Multi-task learning for ad hoc retrieval and query performance prediction
inferredcites →https://doi.org/10.1016/j.ipm.2005.03.023openalex-snapshot
Automatic ranking of information retrieval systems using data fusion
inferredcites →https://doi.org/10.1073/pnas.2305016120openalex-snapshot
ChatGPT outperforms crowd workers for text-annotation tasks
inferredcites →https://doi.org/10.1108/ajim-03-2015-0046openalex-snapshot
Ranking retrieval systems using pseudo relevance judgments
inferredcites →https://doi.org/10.1109/dexa.2017.38openalex-snapshot
Using Supervised Machine Learning to Automatically Build Relevance Judgments for a Test Collection
inferredcites →https://doi.org/10.1109/icdim.2016.7829763openalex-snapshot
Towards automatic generation of relevance judgments for a test collection
inferredcites →https://doi.org/10.1109/tkde.2017.2754371openalex-snapshot
Computing Maximized Effectiveness Distance for Recall-Based Metrics
inferredcites →https://doi.org/10.1111/nyas.15007openalex-snapshot
Holistic Evaluation of Language Models
inferredcites →https://doi.org/10.1145/1277741.1277835openalex-snapshot
Query performance prediction in web search environments
inferredcites →https://doi.org/10.1145/1277741.1277841openalex-snapshot
Performance prediction using spatial autocorrelation
inferredcites →https://doi.org/10.1145/1458082.1458311openalex-snapshot
A survey of pre-retrieval query performance predictors
inferredcites →https://doi.org/10.1145/1835449.1835494openalex-snapshot
Using statistical decision theory and relevance models for query-performance prediction
inferredcites →https://doi.org/10.1145/2009916.2010063openalex-snapshot
Improved query performance prediction using standard deviation
inferredcites →https://doi.org/10.1145/2180868.2180873openalex-snapshot
Predicting Query Performance by Query-Drift Estimation
inferredcites →https://doi.org/10.1145/2396761.2398691openalex-snapshot
On the usefulness of query features for learning to rank
inferredcites →https://doi.org/10.1145/2433396.2433407openalex-snapshot
Efficient and effective retrieval using selective pruning
inferredcites →https://doi.org/10.1145/2661829.2661906openalex-snapshot
Query Performance Prediction By Considering Score Magnitude and Variance Together
inferredcites →https://doi.org/10.1145/2766462.2767824openalex-snapshot
Features of Disagreement Between Retrieval Effectiveness Measures
inferredcites →https://doi.org/10.1145/2983323.2983894openalex-snapshot
Learning to Rank System Configurations
inferredcites →https://doi.org/10.1145/3077136.3080665openalex-snapshot
An Enhanced Approach to Query Performance Prediction Using Reference Lists
inferredcites →https://doi.org/10.1145/3166072.3166079openalex-snapshot
Tasks, Queries, and Rankers in Pre-Retrieval Performance Prediction
inferredcites →https://doi.org/10.1145/3209978.3210041openalex-snapshot
Neural Query Performance Prediction using Weak Supervision from Multiple Signals
inferredcites →https://doi.org/10.1145/3209978.3210078openalex-snapshot
Query Variation Performance Prediction for Systematic Reviews
inferredcites →https://doi.org/10.1145/3209978.3210146openalex-snapshot
Query Performance Prediction and Effectiveness Evaluation Without Relevance Judgments
inferredcites →https://doi.org/10.1145/3341981.3344249openalex-snapshot
Performance Prediction for Non-Factoid Question Answering
inferredcites →https://doi.org/10.1145/3397271.3401206openalex-snapshot
CAsT-19: A Dataset for Conversational Information Seeking
inferredcites →https://doi.org/10.1145/3404835.3462856openalex-snapshot
Few-Shot Conversational Dense Retrieval
inferredcites →https://doi.org/10.1145/3404835.3462883openalex-snapshot
Conversations Powered by Cross-Lingual Knowledge
inferredcites →https://doi.org/10.1145/3404835.3462891openalex-snapshot
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
inferredcites →https://doi.org/10.1145/3404835.3463090openalex-snapshot
Hierarchical Dependence-aware Evaluation Measures for Conversational Search
inferredcites →https://doi.org/10.1145/3404835.3463238openalex-snapshot
Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations
inferredcites →https://doi.org/10.1145/3404835.3463250openalex-snapshot
LeCaRD: A Legal Case Retrieval Dataset for Chinese Law System
inferredcites →https://doi.org/10.1145/3459637.3482063openalex-snapshot
BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction
inferredcites →https://doi.org/10.1145/3539618.3591625openalex-snapshot
A Geometric Framework for Query Performance Prediction in Conversational Search
inferredcites →https://doi.org/10.1145/3539618.3591901openalex-snapshot
iQPP: A Benchmark for Image Query Performance Prediction
inferredcites →https://doi.org/10.1145/3539618.3591919openalex-snapshot
Query Performance Prediction: From Ad-hoc to Conversational Search
inferredcites →https://doi.org/10.1145/3539618.3592032openalex-snapshot
One-Shot Labeling for Automatic Relevance Estimation
inferredcites →https://doi.org/10.1145/3539618.3592046openalex-snapshot
Query-specific Variable Depth Pooling via Query Performance Prediction
inferredcites →https://doi.org/10.1145/3578337.3605142openalex-snapshot
Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities
inferredcites →https://doi.org/10.1145/3580305.3599411openalex-snapshot
Learning to Relate to Previous Turns in Conversational Search
inferredcites →https://doi.org/10.1145/3583780.3615070openalex-snapshot
System Initiative Prediction for Multi-turn Conversational Information Seeking
inferredcites →https://doi.org/10.1145/3583780.3615270openalex-snapshot
Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers
inferredcites →https://doi.org/10.1145/3626772.3657658openalex-snapshot
Query Performance Prediction for Conversational Search and Beyond
inferredcites →https://doi.org/10.1145/3626772.3657707openalex-snapshot
Large Language Models can Accurately Predict Searcher Preferences
inferredcites →https://doi.org/10.1145/3626772.3657784openalex-snapshot
Are Large Language Models Good at Utility Judgments?
inferredcites →https://doi.org/10.1145/3626772.3657798openalex-snapshot
Leveraging LLMs for Unsupervised Dense Retriever Ranking
inferredcites →https://doi.org/10.1145/3626772.3657864openalex-snapshot
Ranked List Truncation for Large Language Model-based Re-Ranking
inferredcites →https://doi.org/10.1145/3626772.3657957openalex-snapshot
Evaluating Retrieval Quality in Retrieval-Augmented Generation
inferredcites →https://doi.org/10.1145/3636341.3636356openalex-snapshot
Report on the 1st Workshop on Query Performance Prediction and Its Evaluation in New Tasks (QPP++ 2023) at ECIR 2023
inferredcites →https://doi.org/10.1145/3673791.3698420openalex-snapshot
AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment
inferredcites →https://doi.org/10.1145/3673791.3698438openalex-snapshot
Query Performance Prediction: Techniques and Applications in Modern Information Retrieval
inferredcites →https://doi.org/10.1145/3701551.3703480openalex-snapshot
Query Performance Prediction: Theory, Techniques and Applications
inferredcites →https://doi.org/10.1145/3726302.3729916openalex-snapshot
LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?
inferredcites →https://doi.org/10.1145/383952.383961openalex-snapshot
Ranking retrieval systems without relevance judgments
inferredcites →https://doi.org/10.1145/383952.383970openalex-snapshot
Document language models, query models, and risk minimization for information retrieval
inferredcites →https://doi.org/10.1145/383952.383972openalex-snapshot
Relevance based language models
inferredcites →https://doi.org/10.1145/582415.582418openalex-snapshot
Cumulated gain-based evaluation of IR techniques
inferredcites →https://doi.org/10.1145/860435.860510openalex-snapshot
Automatic ranking of retrieval systems in imperfect environments
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.249openalex-snapshot
Improving Passage Retrieval with Zero-Shot Question Generation
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.274openalex-snapshot
ConvGQR: Generative Query Reformulation for Conversational Search
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.623openalex-snapshot
Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.923openalex-snapshot
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.590openalex-snapshot
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.950openalex-snapshot
PaRaDe: Passage Ranking using Demonstrations with LLMs
inferredcites →https://doi.org/10.18653/v1/2024.emnlp-main.135openalex-snapshot
CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search
inferredcites →https://doi.org/10.18653/v1/2024.emnlp-main.25openalex-snapshot
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
inferredcites →https://doi.org/10.18653/v1/2024.findings-naacl.97openalex-snapshot
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
inferredcites →https://doi.org/10.18653/v1/2024.naacl-short.31openalex-snapshot
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
inferredcites →https://doi.org/10.18653/v1/2025.findings-naacl.357openalex-snapshot
SOLID: Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking Dialogs
inferredcites →https://doi.org/10.2200/s00235ed1v01y201004icr015openalex-snapshot
Estimating the Query Difficulty for Information Retrieval
inferredcites →https://doi.org/10.3390/app11199075openalex-snapshot
On the Formal Standardization of Terminology Resources: The Case Study of TriMED
inferredcites →https://doi.org/10.48550/arxiv.2201.11903openalex-snapshot
BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
inferredcites →https://doi.org/10.52202/075280-2020openalex-snapshot
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-88708-6_13openalex-snapshot
Improving the Reusability of Conversational Search Test Collections
inferred← citeshttps://doi.org/10.1007/978-3-032-21289-4_27openalex-snapshot
Reducing Human Effort to Validate LLM Relevance Judgements via Stratified Sampling
inferred← citeshttps://doi.org/10.1007/978-3-032-21300-6_10openalex-snapshot
Breaking Flat: A Generalised Query Performance Prediction Evaluation Framework
inferred← citeshttps://doi.org/10.1007/978-3-032-21300-6_29openalex-snapshot
Query Performance Prediction Using a Child-Focused Definition of Relevance
inferred← citeshttps://doi.org/10.1007/978-3-032-21300-6_4openalex-snapshot
Query Harmfulness Prediction (QHP): A New Challenge for Safer Retrieval Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-21300-6_52openalex-snapshot
Generative Retrieval with Few-Shot Indexing
inferred← citeshttps://doi.org/10.1007/978-3-032-21321-1_2openalex-snapshot
Conversational Search: Foundations, Large Language Models, and Agents
inferred← citeshttps://doi.org/10.1007/s10844-026-01080-5openalex-snapshot
RCT-MARS: when per-query retrieval routing fails, and what it takes to succeed
inferred← citeshttps://doi.org/10.1007/s44443-026-00471-6openalex-snapshot
Optimizing multi-hop question answering reasoning through time-aware path construction
inferred← citeshttps://doi.org/10.1145/3701551.3703480openalex-snapshot
Query Performance Prediction: Theory, Techniques and Applications
inferred← citeshttps://doi.org/10.1145/3731120.3744591openalex-snapshot
Criteria-Based LLM Relevance Judgments
inferred← citeshttps://doi.org/10.1145/3746252.3761506openalex-snapshot
RottenReviews: Benchmarking Review Quality with Human and LLM-Based Judgments
inferred← citeshttps://doi.org/10.1145/3762197openalex-snapshot
Query Performance Prediction Using Neural Query Space Proximity
inferred← citeshttps://doi.org/10.1145/3774427openalex-snapshot
Uncovering the Limitations of Query Performance Prediction: Failures, Insights, and Implications for Selective Query Processing
inferred← citeshttps://doi.org/10.1145/3774904.3792524openalex-snapshot
OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
inferred← citeshttps://doi.org/10.1145/3774905.3793917openalex-snapshot
Conversational Search: From Fundamentals to Frontiers in the Age of Agents
inferred← citeshttps://doi.org/10.1145/3790102openalex-snapshot
Reversing the Retrieval Engine: Query Performance Prediction as an Inverse Learning Task
inferred← citeshttps://doi.org/10.1145/3805712.3809905openalex-snapshot
When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment
inferred← citeshttps://doi.org/10.1145/3805712.3809945openalex-snapshot
Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models
inferred← citeshttps://doi.org/10.1145/3827605openalex-snapshot
Adaptive Query Performance Prediction for Retrieval-Augmented Generation: Bridging Retrieval Quality and Generation Relevance
inferred← citeshttps://doi.org/10.1145/3849382openalex-snapshot
A Survey of Long-Document Retrieval in the PLM and LLM Era
inferred← citeshttps://doi.org/10.2139/ssrn.7422696openalex-snapshot
An AI4Research Scoring Benchmark: Characterizing and Calibrating LLM Evaluation of Automated Research Protocols
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