Thakur, Nandan

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Thakur, N., Reimers, N., Rücklé, A., Srivastava, A., & Gurevych, I. (2021) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 45

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

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

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent

Chen, Z., Ma, X., Zhuang, S., Nie, P., Zou, K., Liu, A., Green, J., Patel, K., Meng, R., Su, M., et al. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 3

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

BrowseComp-Plus: A Fair and Disentangled Evaluation Benchmark for Deep Search Agents

Chen, Z., Ma, X., Zhuang, S., Nie, P., Zou, K., Sharifymoghaddam, S., Liu, A., Green, J., Patel, K., Meng, R., et al. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 2

FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents

Thakur, N., Lin, J., Havens, S., Carbin, M., Khattab, O., & Drozdov, A. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0