Nandan Thakur

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Retrieval Functions

Reference Models

Information Retrieval

Average Precision

Top Venues

Publications

Nandan Thakur, Luiz Bonifacio, Maik Fröbe, Alexander Bondarenko, Ehsan Kamalloo, Martin Potthast, Matthias Hagen, Jimmy Lin
Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR. SIGIR (2024)
Nandan Thakur, Jianmo Ni, Gustavo Hernández Ábrego, John Wieting, Jimmy Lin, Daniel Cer
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval. NAACL-HLT (2024)
Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin
Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses. SIGIR (2024)
Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, Eric Zhang, Ryan Nguyen, Daniel Campos, Nick Craswell, Jimmy Lin
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track. CoRR (2024)
Nandan Thakur, Luiz Bonifacio, Maik Fröbe, Alexander Bondarenko, Ehsan Kamalloo, Martin Potthast, Matthias Hagen, Jimmy Lin
Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR. CoRR (2024)
Shivani Upadhyay, Ronak Pradeep, Nandan Thakur, Nick Craswell, Jimmy Lin
UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor. CoRR (2024)
Nandan Thakur, Kexin Wang, Iryna Gurevych, Jimmy Lin
SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval. SIGIR (2023)
Ehsan Kamalloo, Xinyu Zhang, Odunayo Ogundepo, Nandan Thakur, David Alfonso-Hermelo, Mehdi Rezagholizadeh, Jimmy Lin
Evaluating Embedding APIs for Information Retrieval. ACL (industry) (2023)
Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin
Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard. CoRR (2023)
Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Frassetto Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. CoRR (2023)
Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, Ehsan Kamalloo, David Alfonso-Hermelo, Xiaoguang Li, Qun Liu, Mehdi Rezagholizadeh, Jimmy Lin
MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages. Trans. Assoc. Comput. Linguistics 11 (2023)
Ehsan Kamalloo, Xinyu Zhang, Odunayo Ogundepo, Nandan Thakur, David Alfonso-Hermelo, Mehdi Rezagholizadeh, Jimmy Lin
Evaluating Embedding APIs for Information Retrieval. CoRR (2023)
Nandan Thakur, Jianmo Ni, Gustavo Hernández Ábrego, John Wieting, Jimmy Lin, Daniel Cer
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval. CoRR (2023)
Nandan Thakur, Kexin Wang, Iryna Gurevych, Jimmy Lin
SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval. CoRR (2023)
Nandan Thakur, Luiz Bonifacio, Xinyu Zhang, Odunayo Ogundepo, Ehsan Kamalloo, David Alfonso-Hermelo, Xiaoguang Li, Qun Liu, Boxing Chen, Mehdi Rezagholizadeh, Jimmy Lin
NoMIRACL: Knowing When You Don't Know for Robust Multilingual Retrieval-Augmented Generation. CoRR (2023)
Ehsan Kamalloo, Aref Jafari, Xinyu Zhang, Nandan Thakur, Jimmy Lin
HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution. CoRR (2023)
Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Frassetto Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. TREC (2022)
Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, Ehsan Kamalloo, David Alfonso-Hermelo, Xiaoguang Li, Qun Liu, Mehdi Rezagholizadeh, Jimmy Lin
Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages. CoRR (2022)
Nandan Thakur, Nils Reimers, Jimmy Lin
Domain Adaptation for Memory-Efficient Dense Retrieval. CoRR (2022)
Kexin Wang, Nandan Thakur, Nils Reimers, Iryna Gurevych
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval. NAACL-HLT (2022)
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, Iryna Gurevych
BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models. NeurIPS Datasets and Benchmarks (2021)
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, Iryna Gurevych
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models. CoRR (2021)
Kexin Wang, Nandan Thakur, Nils Reimers, Iryna Gurevych
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval. CoRR (2021)
Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks. NAACL-HLT (2021)
Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks. CoRR (2020)