Pradeep Dasigi

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 45

Top Topics

Natural Language

Prepositional Phrase

Semantic Parsing

Top Venues

Publications

Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi
Evaluating In-Context Learning of Libraries for Code Generation. NAACL-HLT (2024)
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
OLMo: Accelerating the Science of Language Models. CoRR (2024)
Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng
TRAM: Bridging Trust Regions and Sharpness Aware Minimization. ICLR (2024)
Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
The Art of Saying No: Contextual Noncompliance in Language Models. CoRR (2024)
Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. CoRR (2023)
Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi
Evaluating In-Context Learning of Libraries for Code Generation. CoRR (2023)
Revanth Gangi Reddy, Pradeep Dasigi, Md. Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi
Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval. CoRR (2023)
Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng
TRAM: Bridging Trust Regions and Sharpness Aware Minimization. CoRR (2023)
Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. NeurIPS (2023)
Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. CoRR (2023)
Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. ICLR (2023)
Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. ACL (Findings) (2023)
Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. EACL (2023)
Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. CoRR (2023)
Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. ACL (1) (2022)
Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization. CoRR (2022)
Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. CoRR (2022)
Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. CoRR (2022)
Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
Learning with Instance Bundles for Reading Comprehension. EMNLP (1) (2021)
Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
Learning with Instance Bundles for Reading Comprehension. CoRR (2021)
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. NAACL-HLT (2021)
Ansong Ni, Matt Gardner, Pradeep Dasigi
Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization. EMNLP (1) (2021)
Ansong Ni, Matt Gardner, Pradeep Dasigi
Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization. CoRR (2021)
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. CoRR (2021)
Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie
Easy, Reproducible and Quality-Controlled Data Collection with Crowdaq. CoRR (2020)
Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie
Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ. EMNLP (Demos) (2020)
James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. CoRR (2020)
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
Evaluating NLP Models via Contrast Sets. CoRR (2020)
James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. EMNLP (1) (2020)
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
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) (2020)
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. CoRR (2019)
Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. CoRR (2019)
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. NAACL-HLT (1) (2019)
Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard H. Hovy
Iterative Search for Weakly Supervised Semantic Parsing. NAACL-HLT (1) (2019)
Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. EMNLP/IJCNLP (1) (2019)
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke Zettlemoyer
AllenNLP: A Deep Semantic Natural Language Processing Platform. CoRR (2018)
Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, Luke Zettlemoyer
Neural Semantic Parsing. ACL (5) (2018)
Pradeep Dasigi, Gully A. P. C. Burns, Eduard H. Hovy, Anita de Waard
Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural Networks. CoRR (2017)
Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. CoRR (2017)
Gully Burns, Pradeep Dasigi, Eduard H. Hovy
Extracting Evidence Fragments for Distant Supervision of Molecular Interactions. SemSci@ISWC (2017)
Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. ACL (1) (2017)
Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables. EMNLP (2017)
Gully A. P. C. Burns, Anita de Waard, Pradeep Dasigi, Eduard H. Hovy
Cycles of Scientific Investigation in Discourse - Machine Reading Methods for the Primary Research Contributions of a Paper. ICBO/BioCreative (2016)
Gully A. P. C. Burns, Pradeep Dasigi, Anita de Waard, Eduard H. Hovy
Automated detection of discourse segment and experimental types from the text of cancer pathway results sections. Database J. Biol. Databases Curation 2016 (2016)
Jason D. Williams, Nobal B. Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Carlos Garcia Jurado Suarez, Mouni Reddy, Geoffrey Zweig
Rapidly Scaling Dialog Systems with Interactive Learning. IWSDS (2015)
Mona T. Diab, Mohamed Al-Badrashiny, Maryam Aminian, Mohammed Attia, Heba Elfardy, Nizar Habash, Abdelati Hawwari, Wael Salloum, Pradeep Dasigi, Ramy Eskander
Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon. LREC (2014)
Pradeep Dasigi, Eduard H. Hovy
Modeling Newswire Events using Neural Networks for Anomaly Detection. COLING (2014)
Nadi Tomeh, Nizar Habash, Ryan Roth, Noura Farra, Pradeep Dasigi, Mona T. Diab
Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition. ACL (2) (2013)
Amjad Abu-Jbara, Pradeep Dasigi, Mona T. Diab, Dragomir R. Radev
Subgroup Detection in Ideological Discussions. ACL (1) (2012)
Pradeep Dasigi, Weiwei Guo, Mona T. Diab
Genre Independent Subgroup Detection in Online Discussion Threads: A Study of Implicit Attitude using Textual Latent Semantics. ACL (2) (2012)
Pradeep Dasigi, Mona T. Diab
CODACT: Towards Identifying Orthographic Variants in Dialectal Arabic. IJCNLP (2011)
Pradeep Dasigi, Mona T. Diab
Named Entity Transliteration Generation Leveraging Statistical Machine Translation Technology. NEWS@IJCNLP (2011)
Sethuramalingam Subramaniam, Anil Kumar Singh, Pradeep Dasigi, Vasudeva Varma
Experiments in CLIR using fuzzy string search based on surface similarity. SIGIR (2009)