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2020 – today
- 2024
[c31]Dirk Groeneveld, Iz Beltagy, Evan 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. ACL (1) 2024: 15789-15809- [c30]Tom Sherborne, Naomi Saphra
, Pradeep Dasigi, Hao Peng:
TRAM: Bridging Trust Regions and Sharpness Aware Minimization. ICLR 2024 - [c29]Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi:
Evaluating In-Context Learning of Libraries for Code Generation. NAACL-HLT 2024: 2908-2926 - [i22]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 abs/2402.00838 (2024) - [i21]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 abs/2407.12043 (2024) - 2023
- [c28]Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi:
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. ACL (Findings) 2023: 9036-9061 - [c27]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: 1642-1661 - [c26]Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi:
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. ICLR 2023 - [c25]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. NeurIPS 2023 - [i20]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 abs/2301.13298 (2023) - [i19]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 abs/2305.11744 (2023) - [i18]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 abs/2306.04751 (2023) - [i17]Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng:
TRAM: Bridging Trust Regions and Sharpness Aware Minimization. CoRR abs/2310.03646 (2023) - [i16]Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi:
Evaluating In-Context Learning of Libraries for Code Generation. CoRR abs/2311.09635 (2023) - [i15]Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew E. 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 abs/2311.10702 (2023) - 2022
- [c24]Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi:
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. ACL (1) 2022: 2660-2676 - [i14]Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi:
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. CoRR abs/2203.12942 (2022) - [i13]Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi:
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. CoRR abs/2212.00196 (2022) - [i12]Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi:
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization. CoRR abs/2212.00921 (2022) - 2021
- [c23]Ansong Ni, Matt Gardner, Pradeep Dasigi:
Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization. EMNLP (1) 2021: 6149-6161 - [c22]Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner:
Learning with Instance Bundles for Reading Comprehension. EMNLP (1) 2021: 7347-7357 - [c21]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: 4599-4610 - [i11]Ansong Ni, Matt Gardner, Pradeep Dasigi:
Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization. CoRR abs/2103.12235 (2021) - [i10]Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner:
Learning with Instance Bundles for Reading Comprehension. CoRR abs/2104.08735 (2021) - [i9]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 abs/2105.03011 (2021) - 2020
- [c20]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: 127-134 - [c19]James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi:
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. EMNLP (1) 2020: 1137-1147 - [c18]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: 1307-1323 - [i8]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 abs/2004.02709 (2020) - [i7]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 abs/2010.06694 (2020) - [i6]James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi:
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. CoRR abs/2011.07127 (2020)
2010 – 2019
- 2019
- [c17]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: 5924-5931 - [c16]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: 2368-2378 - [c15]Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard H. Hovy:
Iterative Search for Weakly Supervised Semantic Parsing. NAACL-HLT (1) 2019: 2669-2680 - [i5]Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. CoRR abs/1903.00161 (2019) - [i4]Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner:
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. CoRR abs/1908.05803 (2019) - 2018
- [c14]Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, Luke Zettlemoyer:
Neural Semantic Parsing. ACL (5) 2018: 17-18 - [i3]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 abs/1803.07640 (2018) - 2017
- [c13]Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy:
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. ACL (1) 2017: 2089-2098 - [c12]Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner:
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables. EMNLP 2017: 1516-1526 - [c11]Gully Burns, Pradeep Dasigi, Eduard H. Hovy:
Extracting Evidence Fragments for Distant Supervision of Molecular Interactions. SemSci@ISWC 2017: 7-14 - [i2]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 abs/1702.05398 (2017) - [i1]Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy:
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. CoRR abs/1705.02925 (2017) - 2016
- [j1]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) - [c10]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 - 2015
- [c9]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: 1-13 - 2014
- [c8]Pradeep Dasigi, Eduard H. Hovy:
Modeling Newswire Events using Neural Networks for Anomaly Detection. COLING 2014: 1414-1422 - [c7]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: 3782-3789 - 2013
- [c6]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: 549-555 - 2012
- [c5]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: 65-69 - [c4]Amjad Abu-Jbara, Pradeep Dasigi, Mona T. Diab, Dragomir R. Radev:
Subgroup Detection in Ideological Discussions. ACL (1) 2012: 399-409 - 2011
- [c3]Pradeep Dasigi, Mona T. Diab:
Named Entity Transliteration Generation Leveraging Statistical Machine Translation Technology. NEWS@IJCNLP 2011: 106-111 - [c2]Pradeep Dasigi, Mona T. Diab:
CODACT: Towards Identifying Orthographic Variants in Dialectal Arabic. IJCNLP 2011: 318-326
2000 – 2009
- 2009
- [c1]Sethuramalingam Subramaniam, Anil Kumar Singh, Pradeep Dasigi, Vasudeva Varma:
Experiments in CLIR using fuzzy string search based on surface similarity. SIGIR 2009: 682-683
Coauthor Index
aka: Hanna Hajishirzi
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last updated on 2024-10-07 21:18 CEST by the dblp team
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