--- title: "Ronak Pradeep — author profile and papers — Elamur Research" description: "Ronak Pradeep, University of Waterloo: 3 papers on Elamur Research (2020–2023), h-index 16 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/ronak-pradeep/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ronak-pradeep/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ronak Pradeep # Ronak Pradeep Ronak Pradeep has 3 papers in our library, in 2020–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Jimmy Lin](https://md.research.elamur.ai/free/en/authors/jimmy-lin/), [Rodrigo Nogueira](https://md.research.elamur.ai/free/en/authors/rodrigo-nogueira/), [Sahel Sharifymoghaddam](https://md.research.elamur.ai/free/en/authors/sahel-sharifymoghaddam/). 3 papers in our library · 2020–2023 [OpenAlex](https://openalex.org/A5101480198) · [ORCID](https://orcid.org/0000-0001-6296-601X) · [Wikidata](https://www.wikidata.org/wiki/Q130878251) · [**h-index 16**](https://openalex.org/authors/A5101480198) · [60 works](https://openalex.org/works?filter=author.id:A5101480198) · [1,385 citations](https://openalex.org/works?filter=author.id:A5101480198&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/ronak-pradeep/#papers) · [🔗 Cited 662 times in our library](https://md.research.elamur.ai/free/en/authors/ronak-pradeep/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3346](https://md.research.elamur.ai/free/en/paper-stars/page/34/#star-3346) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ronak+Pradeep) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ronak+Pradeep) · [dblp](https://dblp.org/search?q=Ronak+Pradeep) · [ACL Anthology](https://aclanthology.org/search/?q=Ronak+Pradeep) ## Affiliations [🎓**University of Waterloo** Waterloo · Canada 2020–2026 · 50 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-waterloo/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 2 works](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/ronak-pradeep/year/2023/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/ronak-pradeep/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[Document Ranking with a Pretrained Sequence-to-Sequence Model](https://md.research.elamur.ai/free/en/papers/nogueira-2020-document-ranking-pretrained-sequence-sequence/)** *(2020 · 543 citations)* The paper asks whether an encoder–decoder model can rank documents better than the usual approach, where an encoder-only model such as BERT is fine-tuned as a relevance classifier. 2. **[Zero-Shot Listwise Document Reranking with a Large Language Model](https://md.research.elamur.ai/free/en/papers/ma-2023-zero-shot-listwise-document-reranking/)** *(2023 · 105 citations)* Strong neural rerankers usually depend on large collections of human relevance labels such as MS MARCO. The authors ask whether a competitive ranking pipeline can be built without any task-specific training. They propose LRL (Listwise Reranker with a Large Language Model). It prompts GPT-3 with a query and up to ten… 3. **[RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models](https://md.research.elamur.ai/free/en/papers/pradeep-2023-rankvicuna-zero-shot-listwise-document/)** *(2023 · 81 citations)* LLM-based listwise reranking has so far relied on proprietary models such as GPT 3.5 and GPT 4 accessed through APIs. ## All works 5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Document Ranking with a Pretrained Sequence-to-Sequence Model](https://md.research.elamur.ai/free/en/papers/nogueira-2020-document-ranking-pretrained-sequence-sequence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, et al.*2020 · 543 citations* 2. **[Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations ↗](https://doi.org/10.1145/3404835.3463238) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Jimmy Lin et al.*2021 · 542 citations* 3. [**Zero-Shot Listwise Document Reranking with a Large Language Model arXiv:2305.02156**Xueguang Ma, Xinyu Zhang, Ronak Pradeep, et al.*2023 · 105 citations*](https://md.research.elamur.ai/free/en/papers/ma-2023-zero-shot-listwise-document-reranking/) 4. [**RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models arXiv:2309.15088**Ronak Pradeep, Sahel Sharifymoghaddam, Jimmy Lin*2023 · 81 citations*](https://md.research.elamur.ai/free/en/papers/pradeep-2023-rankvicuna-zero-shot-listwise-document/) 5. **[Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset ↗](https://aclanthology.org/2020.sdp-1.5/) Proceedings of the First Workshop on Scholarly Document Processing · no summary yet**Edwin Zhang et al.*2020 · 66 citations* ## Co-authors here 6 co-authors with a page, the most papers together first. - [Jimmy Lin](https://md.research.elamur.ai/free/en/authors/jimmy-lin/) ×3 - [Rodrigo Nogueira](https://md.research.elamur.ai/free/en/authors/rodrigo-nogueira/) - [Sahel Sharifymoghaddam](https://md.research.elamur.ai/free/en/authors/sahel-sharifymoghaddam/) - [Xinyu Zhang](https://md.research.elamur.ai/free/en/authors/xinyu-zhang/) - [Xueguang Ma](https://md.research.elamur.ai/free/en/authors/xueguang-ma/) - [Zhiying Jiang](https://md.research.elamur.ai/free/en/authors/zhiying-jiang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2020](https://md.research.elamur.ai/free/en/venues/findings/2020/) - [Nature](https://md.research.elamur.ai/free/en/venues/nature/) - International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) - Proceedings of the First Workshop on Scholarly Document Processing ## Cited by Papers of our library cite their works 662 times (of the 149,439 papers whose bibliographies we read); [146 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ronak-pradeep/cited-by/). Updated 2 November 2026