Ronak Pradeep - RankMe

58 papers A* 11A 2Misc 1Journal 27Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Assembling Your Personal AI Council in Yupp to Provide Multiple Perspectives. WSDM Jimmy Lin, Ronak Pradeep, Gilad Mishne, Pankaj Gupta
2026	J	`jnl`	NeuCLIRTech: Chinese Monolingual and Cross-Language Information Retrieval Evaluation in a Challenging Domain. CoRR Dawn J. Lawrie, James Mayfield, Eugene Yang, Andrew Yates, Sean MacAvaney, Ronak Pradeep, Scott Miller, Paul McNamee, Luca Soldaini
2026	J	`jnl`	Overview of the TREC 2025 Retrieval Augmented Generation (RAG) Track. CoRR Shivani Upadhyay, Nandan Thakur, Ronak Pradeep, Nick Craswell, Daniel Campos, Jimmy Lin
2025	Misc	`conf`	A Large-Scale Study of Relevance Assessments with Large Language Models Using UMBRELA. ICTIR Shivani Upadhyay, Ronak Pradeep, Nandan Thakur, Daniel Campos, Nick Craswell, Ian Soboroff, Jimmy Lin
2025	A*	`conf`	Accelerating Listwise Reranking: Reproducing and Enhancing FIRST. SIGIR Zijian Chen, Ronak Pradeep, Jimmy Lin
2025	A*	`conf`	Assessing Support for the TREC 2024 RAG Track: A Large-Scale Comparative Study of LLM and Human Evaluations. SIGIR Nandan Thakur, Ronak Pradeep, Shivani Upadhyay, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin
2025	J	`jnl`	Chatbot Arena Meets Nuggets: Towards Explanations and Diagnostics in the Evaluation of LLM Responses. CoRR Sahel Sharifymoghaddam, Shivani Upadhyay, Nandan Thakur, Ronak Pradeep, Jimmy Lin
2025	—	`conf`	Eval4RAG: Workshop on Evaluation of Retrieval-Augmented Generation Systems. ECIR (5) Eugene Yang, Ronak Pradeep, Dake Zhang, Sean MacAvaney, Maria Maistro, Mohammad Aliannejadi
2025	A*	`conf`	Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini. SIGIR Jimmy Lin, Arthur Haonan Chen, Carlos Lassance, Xueguang Ma, Ronak Pradeep, Tommaso Teofili, Jasper Xian, Jheng-Hong Yang, Brayden Zhong, Vincent Zhong
2025	—	`conf`	LiT and Lean: Distilling Listwise Rerankers Into Encoder-Decoder Models. ECIR (3) Manveer Singh Tamber, Ronak Pradeep, Jimmy Lin
2025	J	`jnl`	NeuCLIRBench: A Modern Evaluation Collection for Monolingual, Cross-Language, and Multilingual Information Retrieval. CoRR Dawn J. Lawrie, James Mayfield, Eugene Yang, Andrew Yates, Sean MacAvaney, Ronak Pradeep, Scott Miller, Paul McNamee, Luca Soldani
2025	—	`conf`	Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track. ECIR (1) Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, Eric Zhang, Ryan Nguyen, Daniel Campos, Nick Craswell, Jimmy Lin
2025	A*	`conf`	RankLLM: A Python Package for Reranking with LLMs. SIGIR Sahel Sharifymoghaddam, Ronak Pradeep, Andre Slavescu, Ryan Nguyen, Andrew Xu, Zijian Chen, Yilin Zhang, Yidi Chen, Jasper Xian, Jimmy Lin
2025	J	`jnl`	RankLLM: A Python Package for Reranking with LLMs. CoRR Sahel Sharifymoghaddam, Ronak Pradeep, Andre Slavescu, Ryan Nguyen, Andrew Xu, Zijian Chen, Yilin Zhang, Yidi Chen, Jasper Xian, Jimmy Lin
2025	J	`jnl`	Support Evaluation for the TREC 2024 RAG Track: Comparing Human versus LLM Judges. CoRR Nandan Thakur, Ronak Pradeep, Shivani Upadhyay, Daniel Campos, Nick Craswell, Jimmy Lin
2025	A*	`conf`	The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models. SIGIR Ronak Pradeep, Nandan Thakur, Shivani Upadhyay, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin
2025	J	`jnl`	The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models. CoRR Ronak Pradeep, Nandan Thakur, Shivani Upadhyay, Daniel Campos, Nick Craswell, Jimmy Lin
2024	J	`jnl`	A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look. CoRR Shivani Upadhyay, Ronak Pradeep, Nandan Thakur, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin
2024	J	`jnl`	An Early FIRST Reproduction and Improvements to Single-Token Decoding for Fast Listwise Reranking. CoRR Zijian Chen, Ronak Pradeep, Jimmy Lin
2024	—	`conf`	ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models. EMNLP (Industry Track) Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeffrey Pound, Yisi Sang, Jimmy Lin, Ihab F. Ilyas, Saloni Potdar, Mostafa Arefiyan, Yunyao Li
2024	J	`jnl`	ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models. CoRR Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeff Pound, Yisi Sang, Jimmy Lin, Ihab F. Ilyas, Saloni Potdar, Mostafa Arefiyan, Yunyao Li
2024	—	`conf`	Entity Disambiguation via Fusion Entity Decoding. NAACL-HLT Junxiong Wang, Ali Mousavi, Omar Attia, Ronak Pradeep, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li
2024	J	`jnl`	Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework. CoRR Ronak Pradeep, Nandan Thakur, Shivani Upadhyay, Daniel Campos, Nick Craswell, Jimmy Lin
2024	J	`jnl`	Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels. CoRR Jasper Xian, Saron Samuel, Faraz Khoubsirat, Ronak Pradeep, Md. Arafat Sultan, Radu Florian, Salim Roukos, Avirup Sil, Christopher Potts, Omar Khattab
2024	J	`jnl`	Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track. CoRR Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, Eric Zhang, Ryan Nguyen, Daniel Campos, Nick Craswell, Jimmy Lin
2024	—	`conf`	Towards Automated End-to-End Health Misinformation Free Search with a Large Language Model. ECIR (4) Ronak Pradeep, Jimmy Lin
2024	J	`jnl`	UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor. CoRR Shivani Upadhyay, Ronak Pradeep, Nandan Thakur, Nick Craswell, Jimmy Lin
2024	A	`conf`	Vector Search with OpenAI Embeddings: Lucene Is All You Need. WSDM Jasper Xian, Tommaso Teofili, Ronak Pradeep, Jimmy Lin
2024	—	`conf`	Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages. ACL (Short Papers) Mofetoluwa Adeyemi, Akintunde Oladipo, Ronak Pradeep, Jimmy Lin
2023	A*	`conf`	How Does Generative Retrieval Scale to Millions of Passages? EMNLP Ronak Pradeep, Kai Hui, Jai Gupta, Ádám D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
2023	J	`jnl`	How Does Generative Retrieval Scale to Millions of Passages? CoRR Ronak Pradeep, Kai Hui, Jai Gupta, Ádám Dániel Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
2023	—	`conf`	Naverloo @ TREC Deep Learning and Neuclir 2023: As Easy as Zero, One, Two, Three - Cascading Dual Encoders, Mono, Duo, and Listo for Ad-Hoc Retrieval. TREC Carlos Lassance, Ronak Pradeep, Jimmy Lin
2023	—	`conf`	Pre-processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering. ECIR (3) Manveer Singh Tamber, Ronak Pradeep, Jimmy Lin
2023	—	`conf`	PyGaggle: A Gaggle of Resources for Open-Domain Question Answering. ECIR (3) Ronak Pradeep, Haonan Chen, Lingwei Gu, Manveer Singh Tamber, Jimmy Lin
2023	J	`jnl`	RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models. CoRR Ronak Pradeep, Sahel Sharifymoghaddam, Jimmy Lin
2023	J	`jnl`	RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! CoRR Ronak Pradeep, Sahel Sharifymoghaddam, Jimmy Lin
2023	J	`jnl`	ReadProbe: A Demo of Retrieval-Enhanced Large Language Models to Support Lateral Reading. CoRR Dake Zhang, Ronak Pradeep
2023	J	`jnl`	Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models. CoRR Manveer Singh Tamber, Ronak Pradeep, Jimmy Lin
2023	J	`jnl`	Vector Search with OpenAI Embeddings: Lucene Is All You Need. CoRR Jimmy Lin, Ronak Pradeep, Tommaso Teofili, Jasper Xian
2023	J	`jnl`	Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages. CoRR Mofetoluwa Adeyemi, Akintunde Oladipo, Ronak Pradeep, Jimmy Lin
2023	J	`jnl`	Zero-Shot Listwise Document Reranking with a Large Language Model. CoRR Xueguang Ma, Xinyu Zhang, Ronak Pradeep, Jimmy Lin
2022	—	`conf`	Another Look at DPR: Reproduction of Training and Replication of Retrieval. ECIR (1) Xueguang Ma, Kai Sun, Ronak Pradeep, Minghan Li, Jimmy Lin
2022	A*	`conf`	Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2. SIGIR Xueguang Ma, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin
2022	A*	`conf`	Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching. SIGIR Ronak Pradeep, Yilin Li, Yuetong Wang, Jimmy Lin
2022	—	`conf`	Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking. ECIR (1) Ronak Pradeep, Yuqi Liu, Xinyu Zhang, Yilin Li, Andrew Yates, Jimmy Lin
2021	J	`jnl`	A Replication Study of Dense Passage Retriever. CoRR Xueguang Ma, Kai Sun, Ronak Pradeep, Jimmy Lin
2021	A*	`conf`	Chatty Goose: A Python Framework for Conversational Search. SIGIR Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin
2021	—	`conf`	Exploring Listwise Evidence Reasoning with T5 for Fact Verification. ACL/IJCNLP (2) Kelvin Jiang, Ronak Pradeep, Jimmy Lin
2021	A*	`conf`	Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. SIGIR Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira
2021	J	`jnl`	Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations. CoRR Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira
2021	—	`conf`	Scientific Claim Verification with VerT5erini. LOUHI@EACL Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin
2021	J	`jnl`	The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models. CoRR Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin
2021	A*	`conf`	Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search. SIGIR Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin
2020	—	`conf`	Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. SDP@EMNLP Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin
2020	J	`jnl`	Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. CoRR Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin
2020	—	`conf`	Document Ranking with a Pretrained Sequence-to-Sequence Model. EMNLP (Findings) Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, Jimmy Lin
2020	—	`conf`	H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine. TREC Ronak Pradeep, Xueguang Ma, Xinyu Zhang, Hang Cui, Ruizhou Xu, Rodrigo Nogueira, Jimmy Lin
2020	J	`jnl`	Scientific Claim Verification with VERT5ERINI. CoRR Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin