Craswell, Nick

An Introduction to Neural Information Retrieval

Mitra, B., & Craswell, N. (2018) · Foundations and Trends® in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 317

Large Language Models can Accurately Predict Searcher Preferences

Thomas, P., Spielman, S., Craswell, N., & Mitra, B. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 168

Overview of the TREC 2020 Deep Learning Track

Craswell, N., Mitra, B., Yilmaz, E., & Campos, D. (2021) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 107

Overview of the TREC 2019 deep learning track

Craswell, N., Mitra, B., Yilmaz, E., Campos, D., & Voorhees, E. M. (2020) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 68

TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime

Craswell, N., Mitra, B., Yilmaz, E., Campos, D., Voorhees, E. M., & Soboroff, I. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 58

UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor

Upadhyay, S., Pradeep, R., Thakur, N., Craswell, N., & Lin, J. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 16

A Comparative Analysis of Human and Automatic Query Variants

Liu, B., Craswell, N., Lu, X., Kurland, O., & Culpepper, J. S. (2019) · Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval

Information Retrieval and Search BehaviorAlgorithms and Data Compression

Cited by 14

The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models

Pradeep, R., Thakur, N., Upadhyay, S., Campos, D., Craswell, N., Soboroff, I., Dang, H. T., & Lin, J. (2025) · Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingInformation Retrieval and Search Behavior

Cited by 14

A Large-Scale Study of Relevance Assessments with Large Language Models Using UMBRELA

Upadhyay, S., Pradeep, R., Thakur, N., Campos, D., Craswell, N., Soboroff, I., & Lin, J. (2025) · Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 11

Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework

Pradeep, R., Thakur, N., Upadhyay, S., Campos, D., Craswell, N., & Lin, J. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 6

The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models

Pradeep, R., Thakur, N., Upadhyay, S., Campos, D., Craswell, N., & Lin, J. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 3

LLMJudge: LLMs for Relevance Judgments

Rahmani, H. A., Yilmaz, E., Craswell, N., Mitra, B., Thomas, P., Clarke, C. L. A., Aliannejadi, M., Siro, C., & Faggioli, G. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

Overview of the TREC 2023 Deep Learning Track

Craswell, N., Mitra, B., Yilmaz, E., Rahmani, H. A., Campos, D., Lin, J., Voorhees, E. M., & Soboroff, I. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

All Claims Are Equal, but Some Claims Are More Equal Than Others: Importance-Sensitive Factuality Evaluation of LLM Generations

Wanner, M., Azzopardi, L., Thomas, P., Dan, S., Van Durme, B., & Craswell, N. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0