Ronak Pradeep
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
7
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICTIR | Search Arena Meets Nuggets: Towards Explanations and Diagnostics in the Evaluation of LLM Responses. | Sahel Sharifymoghaddam, Shivani Upadhyay, Nandan Thakur, Ronak Pradeep, Jimmy Lin |
| 2026 | SIGIR | Auto-Judge: A Cross-Task Benchmark for Comparing LLM Judges for Citation-Grounded RAG Systems. | Naghmeh Farzi, Tim Hagen, Eugene Yang, Maik Frbe, Ronak Pradeep, Hossein A. Rahmani, Xi Wang, Oleg Zendel, Martin Potthast, Laura Dietz |
| 2026 | SIGIR | Automating Generation of Long-Form Queries. | Shivani Upadhyay, Daniel Campos, Nandan Thakur, Ronak Pradeep, Nick Craswell, Jimmy Lin |
| 2026 | WSDM | Assembling Your Personal AI Council in Yupp to Provide Multiple Perspectives. | Jimmy Lin, Ronak Pradeep, Gilad Mishne, Pankaj Gupta |
| 2025 | ECIR | Ragnark: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track. | Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, Eric Zhang, Ryan Nguyen, Daniel Campos, Nick Craswell, Jimmy Lin |
| 2025 | ECIR | LiT and Lean: Distilling Listwise Rerankers Into Encoder-Decoder Models. | Manveer Singh Tamber, Ronak Pradeep, Jimmy Lin |
| 2025 | ECIR | Eval4RAG: Workshop on Evaluation of Retrieval-Augmented Generation Systems. | Eugene Yang, Ronak Pradeep, Dake Zhang, Sean MacAvaney, Maria Maistro, Mohammad Aliannejadi |
| 2025 | ICTIR | A Large-Scale Study of Relevance Assessments with Large Language Models Using UMBRELA. | Shivani Upadhyay, Ronak Pradeep, Nandan Thakur, Daniel Campos, Nick Craswell, Ian Soboroff, Jimmy Lin |
| 2025 | SIGIR | Accelerating Listwise Reranking: Reproducing and Enhancing FIRST. | Zijian Chen, Ronak Pradeep, Jimmy Lin |
| 2025 | SIGIR | Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini. | Jimmy Lin, Arthur Haonan Chen, Carlos Lassance, Xueguang Ma, Ronak Pradeep, Tommaso Teofili, Jasper Xian, Jheng-Hong Yang, Brayden Zhong, Vincent Zhong |
| 2025 | SIGIR | The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models. | Ronak Pradeep, Nandan Thakur, Shivani Upadhyay, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin |
| 2025 | SIGIR | RankLLM: A Python Package for Reranking with LLMs. | Sahel Sharifymoghaddam, Ronak Pradeep, Andre Slavescu, Ryan Nguyen, Andrew Xu, Zijian Chen, Yilin Zhang, Yidi Chen, Jasper Xian, Jimmy Lin |
| 2025 | SIGIR | Assessing Support for the TREC 2024 RAG Track: A Large-Scale Comparative Study of LLM and Human Evaluations. | Nandan Thakur, Ronak Pradeep, Shivani Upadhyay, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin |
| 2024 | ACL | Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages. | Mofetoluwa Adeyemi, Akintunde Oladipo, Ronak Pradeep, Jimmy Lin |
| 2024 | ECIR | Towards Automated End-to-End Health Misinformation Free Search with a Large Language Model. | Ronak Pradeep, Jimmy Lin |
| 2024 | EMNLP | ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models. | Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeffrey Pound, Yisi Sang, Jimmy Lin, Ihab F. Ilyas, Saloni Potdar, Mostafa Arefiyan, Yunyao Li |
| 2024 | NAACL | Entity Disambiguation via Fusion Entity Decoding. | Junxiong Wang, Ali Mousavi, Omar Attia, Ronak Pradeep, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li |
| 2024 | WSDM | Vector Search with OpenAI Embeddings: Lucene Is All You Need. | Jasper Xian, Tommaso Teofili, Ronak Pradeep, Jimmy Lin |
| 2023 | ECIR | PyGaggle: A Gaggle of Resources for Open-Domain Question Answering. | Ronak Pradeep, Haonan Chen, Lingwei Gu, Manveer Singh Tamber, Jimmy Lin |
| 2023 | ECIR | Pre-processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering. | Manveer Singh Tamber, Ronak Pradeep, Jimmy Lin |
| 2023 | EMNLP | How Does Generative Retrieval Scale to Millions of Passages? | Ronak Pradeep, Kai Hui, Jai Gupta, dm D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran |
| 2022 | ECIR | Another Look at DPR: Reproduction of Training and Replication of Retrieval. | Xueguang Ma, Kai Sun, Ronak Pradeep, Minghan Li, Jimmy Lin |
| 2022 | ECIR | Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking. | Ronak Pradeep, Yuqi Liu, Xinyu Zhang, Yilin Li, Andrew Yates, Jimmy Lin |
| 2022 | SIGIR | Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2. | Xueguang Ma, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin |
| 2022 | SIGIR | Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching. | Ronak Pradeep, Yilin Li, Yuetong Wang, Jimmy Lin |
| 2021 | ACL | Exploring Listwise Evidence Reasoning with T5 for Fact Verification. | Kelvin Jiang, Ronak Pradeep, Jimmy Lin |
| 2021 | SIGIR | Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. | Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira |
| 2021 | SIGIR | Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search. | Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin |
| 2021 | SIGIR | Chatty Goose: A Python Framework for Conversational Search. | Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin |
| 2020 | EMNLP | Document Ranking with a Pretrained Sequence-to-Sequence Model. | Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, Jimmy Lin |
| 2020 | EMNLP | Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. | Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin |