Lin, Jimmy

Precise Zero-Shot Dense Retrieval without Relevance Labels

Gao, L., Ma, X., Lin, J., & Callan, J. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 362

Precise Zero-Shot Dense Retrieval without Relevance Labels

Gao, L., Ma, X., Lin, J., & Callan, J. (2022) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 362

Pyserini: A Python toolkit for reproducible information retrieval research with sparse and dense representations

Lin, J., Ma, X., Lin, S.-C., Yang, J.-H., Pradeep, R., & Nogueira, R. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 360

PubMed related articles: a probabilistic topic-based model for content similarity

Lin, J., & Wilbur, W. J. (2007) · BMC Bioinformatics

Information Retrieval and Search BehaviorBiomedical Text Mining and Ontologies

Cited by 243

Will Pyramids Built of Nuggets Topple Over?

Lin, J., & Demner-Fushman, D. (2006) · Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics -

Information Retrieval and Search BehaviorTopic Modeling

Cited by 77

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting

Lin, S.-C., Yang, J.-H., Nogueira, R., Tsai, M.-F., Wang, C.-J., & Lin, J. (2020) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 62

The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing

Xin, J., Tang, R., Yu, Y., & Lin, J. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 45

Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Nogueira, R., Jiang, Z., & Lin, J. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 29

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

Towards Robust QA Evaluation via Open LLMs

Kamalloo, E., Upadhyay, S., & Lin, J. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingNatural Language Processing Techniques

Cited by 15

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

EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems

Dehghan, M., Alomrani, M., Bagga, S., Alfonso-Hermelo, D., Bibi, K., Ghaddar, A., Zhang, Y., Li, X., Hao, J., Liu, Q., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 12

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

FLAME: Factuality-Aware Alignment for Large Language Models

Lin, S.-C., Gao, L., Oguz, B., Xiong, W., Lin, J., Yih, W.-T., & Chen, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

What the DAAM: Interpreting Stable Diffusion Using Cross Attention

Tang, R., Liu, L., Pandey, A., Jiang, Z., Yang, G., Kumar, K., Stenetorp, P., Lin, J., & Ture, F. (2022) · arXiv

Explainable Artificial Intelligence (XAI)Generative Adversarial Networks and Image Synthesis

Cited by 4

LLMs Can Patch Up Missing Relevance Judgments in Evaluation

Upadhyay, S., Kamalloo, E., & Lin, J. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 4

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

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data

Tamber, M. S., Kazi, S., Sourabh, V., & Lin, J. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 1

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

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