Pradeep Dasigi

According to our database, Pradeep Dasigi authored at least 39 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

OLMo: Accelerating the Science of Language Models.

Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2024

2023

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew E. Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

CoRR, 2023

Evaluating In-Context Learning of Libraries for Code Generation.

Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi

CoRR, 2023

TRAM: Bridging Trust Regions and Sharpness Aware Minimization.

Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng

CoRR, 2023

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.

Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

CoRR, 2023

Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval.

Revanth Gangi Reddy, Pradeep Dasigi, Md. Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi

CoRR, 2023

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.

Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AGRO: Adversarial discovery of error-prone Groups for Robust Optimization.

Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization.

Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Data-Efficient Finetuning Using Cross-Task Nearest Neighbors.

Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets.

Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization.

Ansong Ni, Matt Gardner, Pradeep Dasigi

CoRR, 2021

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers.

Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization.

Ansong Ni, Matt Gardner, Pradeep Dasigi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning with Instance Bundles for Reading Comprehension.

Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Evaluating NLP Models via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

CoRR, 2020

Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ.

Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

IIRC: A Dataset of Incomplete Information Reading Comprehension Questions.

James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Evaluating Models' Local Decision Boundaries via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.

Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Iterative Search for Weakly Supervised Semantic Parsing.

Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard H. Hovy

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning.

Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

AllenNLP: A Deep Semantic Natural Language Processing Platform.

Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke Zettlemoyer

CoRR, 2018

Neural Semantic Parsing.

Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, Luke Zettlemoyer

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Tutorial Abstracts, 2018

2017

Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural Networks.

Pradeep Dasigi, Gully A. P. C. Burns, Eduard H. Hovy, Anita de Waard

CoRR, 2017

Extracting Evidence Fragments for Distant Supervision of Molecular Interactions.

Gully Burns, Pradeep Dasigi, Eduard H. Hovy

Proceedings of the First Workshop on Enabling Open Semantic Science co-located with 16th International Semantic Web Conference (ISWC 2017), 2017

Neural Semantic Parsing with Type Constraints for Semi-Structured Tables.

Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Ontology-Aware Token Embeddings for Prepositional Phrase Attachment.

Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Automated detection of discourse segment and experimental types from the text of cancer pathway results sections.

Gully A. P. C. Burns, Pradeep Dasigi, Anita de Waard, Eduard H. Hovy

Database J. Biol. Databases Curation, 2016

Cycles of Scientific Investigation in Discourse - Machine Reading Methods for the Primary Research Contributions of a Paper.

Gully A. P. C. Burns, Anita de Waard, Pradeep Dasigi, Eduard H. Hovy

Proceedings of the Joint International Conference on Biological Ontology and BioCreative, 2016

2015

Rapidly Scaling Dialog Systems with Interactive Learning.

Jason D. Williams, Nobal B. Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Carlos Garcia Jurado Suarez, Mouni Reddy, Geoffrey Zweig

Proceedings of the Natural Language Dialog Systems and Intelligent Assistants, 2015

2014

Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon.

Mona T. Diab, Mohamed Al-Badrashiny, Maryam Aminian, Mohammed Attia, Heba Elfardy, Nizar Habash, Abdelati Hawwari, Wael Salloum, Pradeep Dasigi, Ramy Eskander

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Modeling Newswire Events using Neural Networks for Anomaly Detection.

Pradeep Dasigi, Eduard H. Hovy

Proceedings of the COLING 2014, 2014

2013

Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition.

Nadi Tomeh, Nizar Habash, Ryan Roth, Noura Farra, Pradeep Dasigi, Mona T. Diab

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Genre Independent Subgroup Detection in Online Discussion Threads: A Study of Implicit Attitude using Textual Latent Semantics.

Pradeep Dasigi, Weiwei Guo, Mona T. Diab

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Subgroup Detection in Ideological Discussions.

Amjad Abu-Jbara, Pradeep Dasigi, Mona T. Diab, Dragomir R. Radev

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

CODACT: Towards Identifying Orthographic Variants in Dialectal Arabic.

Pradeep Dasigi, Mona T. Diab

Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Named Entity Transliteration Generation Leveraging Statistical Machine Translation Technology.

Pradeep Dasigi, Mona T. Diab

Proceedings of the 3rd Named Entities Workshop, 2011

2009

Experiments in CLIR using fuzzy string search based on surface similarity.

Sethuramalingam Subramaniam, Anil Kumar Singh, Pradeep Dasigi, Vasudeva Varma

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009