Ronak Pradeep

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 34

Top Topics

Top Venues

Publications

Ronak Pradeep, Jimmy Lin
Towards Automated End-to-End Health Misinformation Free Search with a Large Language Model. ECIR (4) (2024)
Junxiong Wang, Ali Mousavi, Omar Attia, Ronak Pradeep, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li
Entity Disambiguation via Fusion Entity Decoding. NAACL-HLT (2024)
Jasper Xian, Tommaso Teofili, Ronak Pradeep, Jimmy Lin
Vector Search with OpenAI Embeddings: Lucene Is All You Need. WSDM (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)
Jasper Xian, Saron Samuel, Faraz Khoubsirat, Ronak Pradeep, Md. Arafat Sultan, Radu Florian, Salim Roukos, Avirup Sil, Christopher Potts, Omar Khattab
Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels. 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)
Ronak Pradeep, Haonan Chen, Lingwei Gu, Manveer Singh Tamber, Jimmy Lin
PyGaggle: A Gaggle of Resources for Open-Domain Question Answering. ECIR (3) (2023)
Ronak Pradeep, Sahel Sharifymoghaddam, Jimmy Lin
RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models. CoRR (2023)
Manveer Singh Tamber, Ronak Pradeep, Jimmy Lin
Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models. CoRR (2023)
Xueguang Ma, Xinyu Zhang, Ronak Pradeep, Jimmy Lin
Zero-Shot Listwise Document Reranking with a Large Language Model. CoRR (2023)
Ronak Pradeep, Kai Hui, Jai Gupta, Ádám D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
How Does Generative Retrieval Scale to Millions of Passages? EMNLP (2023)
Ronak Pradeep, Sahel Sharifymoghaddam, Jimmy Lin
RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! CoRR (2023)
Ronak Pradeep, Kai Hui, Jai Gupta, Ádám Dániel Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
How Does Generative Retrieval Scale to Millions of Passages? CoRR (2023)
Manveer Singh Tamber, Ronak Pradeep, Jimmy Lin
Pre-processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering. ECIR (3) (2023)
Jimmy Lin, Ronak Pradeep, Tommaso Teofili, Jasper Xian
Vector Search with OpenAI Embeddings: Lucene Is All You Need. CoRR (2023)
Dake Zhang, Ronak Pradeep
ReadProbe: A Demo of Retrieval-Enhanced Large Language Models to Support Lateral Reading. CoRR (2023)
Mofetoluwa Adeyemi, Akintunde Oladipo, Ronak Pradeep, Jimmy Lin
Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages. CoRR (2023)
Ronak Pradeep, Yilin Li, Yuetong Wang, Jimmy Lin
Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching. SIGIR (2022)
Xueguang Ma, Kai Sun, Ronak Pradeep, Minghan Li, Jimmy Lin
Another Look at DPR: Reproduction of Training and Replication of Retrieval. ECIR (1) (2022)
Ronak Pradeep, Yuqi Liu, Xinyu Zhang, Yilin Li, Andrew Yates, Jimmy Lin
Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking. ECIR (1) (2022)
Xueguang Ma, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin
Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2. SIGIR (2022)
Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin
Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search. SIGIR (2021)
Ronak Pradeep, Xueguang Ma, Rodrigo Frassetto Nogueira, Jimmy Lin
Scientific Claim Verification with VerT5erini. LOUHI@EACL (2021)
Kelvin Jiang, Ronak Pradeep, Jimmy Lin
Exploring Listwise Evidence Reasoning with T5 for Fact Verification. ACL/IJCNLP (2) (2021)
Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations. CoRR (2021)
Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira
Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. SIGIR (2021)
Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models. CoRR (2021)
Xueguang Ma, Kai Sun, Ronak Pradeep, Jimmy Lin
A Replication Study of Dense Passage Retriever. CoRR (2021)
Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin
Chatty Goose: A Python Framework for Conversational Search. SIGIR (2021)
Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin
Scientific Claim Verification with VERT5ERINI. CoRR (2020)
Ronak Pradeep, Xueguang Ma, Xinyu Zhang, Hang Cui, Ruizhou Xu, Rodrigo Nogueira, Jimmy Lin
H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine. TREC (2020)
Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. CoRR (2020)
Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. SDP@EMNLP (2020)
Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, Jimmy Lin
Document Ranking with a Pretrained Sequence-to-Sequence Model. EMNLP (Findings) (2020)