Ronak Pradeep
Orcid: 0000-0001-6296-601X
According to our database1,
Ronak Pradeep
authored at least 31 papers
between 2020 and 2024.
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Bibliography
2024
ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models.
CoRR, 2024
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track.
CoRR, 2024
Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels.
CoRR, 2024
CoRR, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Towards Automated End-to-End Health Misinformation Free Search with a Large Language Model.
Proceedings of the Advances in Information Retrieval, 2024
Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
2023
Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models.
CoRR, 2023
CoRR, 2023
RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models.
CoRR, 2023
ReadProbe: A Demo of Retrieval-Enhanced Large Language Models to Support Lateral Reading.
CoRR, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Pre-processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering.
Proceedings of the Advances in Information Retrieval, 2023
Proceedings of the Advances in Information Retrieval, 2023
2022
Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking.
Proceedings of the Advances in Information Retrieval, 2022
Proceedings of the Advances in Information Retrieval, 2022
2021
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations.
CoRR, 2021
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models.
CoRR, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis, 2021
2020
H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset.
Proceedings of the First Workshop on Scholarly Document Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020