Pradeep Dasigi

72 papers A* 8A 1B 3Journal 35Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Meta-Reinforcement Learning with Self-Reflection for Agentic Search. CoRR Teng Xiao, Yige Yuan, Hamish Ivison, Huaisheng Zhu, Faeze Brahman, Nathan Lambert, Pradeep Dasigi, Noah A. Smith, Hannaneh Hajishirzi
2025	J	`jnl`	2 OLMo 2 Furious. CoRR Team OLMo, Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Michal Guerquin, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James V. Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
2025	A*	`conf`	A Large-Scale Study of Reranker Relevance Feedback at Inference. SIGIR Revanth Gangi Reddy, Pradeep Dasigi, Md. Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi
2025	J	`jnl`	DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research. CoRR Rulin Shao, Akari Asai, Shannon Zejiang Shen, Hamish Ivison, Varsha Kishore, Jingming Zhuo, Xinran Zhao, Molly Park, Samuel G. Finlayson, David A. Sontag, Tyler Murray, Sewon Min, Pradeep Dasigi, Luca Soldaini, Faeze Brahman, Wen-tau Yih, Tongshuang Wu, Luke Zettlemoyer, Yoon Kim, Hannaneh Hajishirzi, Pang Wei Koh
2025	J	`jnl`	Generalizing Verifiable Instruction Following. CoRR Valentina Pyatkin, Saumya Malik, Victoria Graf, Hamish Ivison, Shengyi Huang, Pradeep Dasigi, Nathan Lambert, Hannaneh Hajishirzi
2025	—	`conf`	Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. ACL (1) Lester James Validad Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
2025	J	`jnl`	Large-Scale Data Selection for Instruction Tuning. CoRR Hamish Ivison, Muru Zhang, Faeze Brahman, Pang Wei Koh, Pradeep Dasigi
2025	J	`jnl`	Olmo 3. CoRR Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, David Graham, David Heineman, Dirk Groeneveld, Faeze Brahman, Finbarr Timbers, Hamish Ivison, Jacob Morrison, Jake Poznanski, Kyle Lo, Luca Soldaini, Matt Jordan, Mayee F. Chen, Michael Noukhovitch, Nathan Lambert, Pete Walsh, Pradeep Dasigi, Robert Berry, Saumya Malik, Saurabh Shah, Scott Geng, Shane Arora, Shashank Gupta, Taira Anderson, Teng Xiao, Tyler Murray, Tyler Romero, Victoria Graf, Akari Asai, Akshita Bhagia, Alexander Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lester James V. Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, William Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
2024	—	`conf`	Evaluating In-Context Learning of Libraries for Code Generation. NAACL-HLT Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi
2024	J	`jnl`	HREF: Human Response-Guided Evaluation of Instruction Following in Language Models. CoRR Xinxi Lyu, Yizhong Wang, Hannaneh Hajishirzi, Pradeep Dasigi
2024	J	`jnl`	Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. CoRR Lester James V. Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
2024	—	`conf`	Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging. EMNLP (Findings) Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, Pradeep Dasigi
2024	J	`jnl`	Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging. CoRR Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, Pradeep Dasigi
2024	—	`conf`	OLMo: Accelerating the Science of Language Models. ACL (1) 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
2024	J	`jnl`	OLMo: Accelerating the Science of Language Models. CoRR 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
2024	J	`jnl`	ReFIT: Reranker Relevance Feedback during Inference. IEEE Data Eng. Bull. Revanth Gangi Reddy, Pradeep Dasigi, Md. Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi
2024	A*	`conf`	Scalable Data Ablation Approximations for Language Models through Modular Training and Merging. EMNLP Clara Na, Ian Magnusson, Ananya Harsh Jha, Tom Sherborne, Emma Strubell, Jesse Dodge, Pradeep Dasigi
2024	J	`jnl`	Scalable Data Ablation Approximations for Language Models through Modular Training and Merging. CoRR Clara Na, Ian Magnusson, Ananya Harsh Jha, Tom Sherborne, Emma Strubell, Jesse Dodge, Pradeep Dasigi
2024	A*	`conf`	TRAM: Bridging Trust Regions and Sharpness Aware Minimization. ICLR Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng
2024	A*	`conf`	The Art of Saying No: Contextual Noncompliance in Language Models. NeurIPS 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, Hanna Hajishirzi
2024	J	`jnl`	The Art of Saying No: Contextual Noncompliance in Language Models. CoRR 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
2024	J	`jnl`	TÜLU 3: Pushing Frontiers in Open Language Model Post-Training. CoRR Nathan Lambert, Jacob Morrison, Valentina Pyatkin, Shengyi Huang, Hamish Ivison, Faeze Brahman, Lester James V. Miranda, Alisa Liu, Nouha Dziri, Shane Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D. Hwang, Jiangjiang Yang, Ronan Le Bras, Oyvind Tafjord, Chris Wilhelm, Luca Soldaini, Noah A. Smith, Yizhong Wang, Pradeep Dasigi, Hannaneh Hajishirzi
2023	A*	`conf`	AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. ICLR Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi
2023	J	`jnl`	Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. CoRR Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew E. Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
2023	—	`conf`	Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. ACL (Findings) Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
2023	J	`jnl`	Evaluating In-Context Learning of Libraries for Code Generation. CoRR Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi
2023	A*	`conf`	How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. NeurIPS Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
2023	J	`jnl`	How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. CoRR Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
2023	J	`jnl`	Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval. CoRR Revanth Gangi Reddy, Pradeep Dasigi, Md. Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi
2023	A	`conf`	LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. EACL Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo
2023	J	`jnl`	LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. CoRR Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo
2023	J	`jnl`	TRAM: Bridging Trust Regions and Sharpness Aware Minimization. CoRR Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng
2022	J	`jnl`	AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization. CoRR Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi
2022	J	`jnl`	Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. CoRR Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
2022	—	`conf`	Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. ACL (1) Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi
2022	J	`jnl`	Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. CoRR Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi
2022	—	`—`	Knowledge-Aware Natural Language Understanding Pradeep Dasigi
2021	—	`conf`	A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. NAACL-HLT Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
2021	J	`jnl`	A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. CoRR Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
2021	—	`conf`	Learning with Instance Bundles for Reading Comprehension. EMNLP (1) Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
2021	J	`jnl`	Learning with Instance Bundles for Reading Comprehension. CoRR Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
2021	—	`conf`	Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization. EMNLP (1) Ansong Ni, Matt Gardner, Pradeep Dasigi
2021	J	`jnl`	Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization. CoRR Ansong Ni, Matt Gardner, Pradeep Dasigi
2020	—	`conf`	Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ. EMNLP (Demos) Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie
2020	J	`jnl`	Easy, Reproducible and Quality-Controlled Data Collection with Crowdaq. CoRR Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie
2020	—	`conf`	Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 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
2020	J	`jnl`	Evaluating NLP Models via Contrast Sets. CoRR 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
2020	—	`conf`	IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. EMNLP (1) James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi
2020	J	`jnl`	IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. CoRR James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi
2019	—	`conf`	DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. NAACL-HLT (1) Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019	J	`jnl`	DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. CoRR Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019	—	`conf`	Iterative Search for Weakly Supervised Semantic Parsing. NAACL-HLT (1) Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard H. Hovy
2019	—	`conf`	Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. EMNLP/IJCNLP (1) Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner
2019	J	`jnl`	Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. CoRR Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner
2018	J	`jnl`	AllenNLP: A Deep Semantic Natural Language Processing Platform. CoRR Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke Zettlemoyer
2018	—	`conf`	Neural Semantic Parsing. ACL (5) Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, Luke Zettlemoyer
2017	J	`jnl`	Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural Networks. CoRR Pradeep Dasigi, Gully A. P. C. Burns, Eduard H. Hovy, Anita de Waard
2017	—	`conf`	Extracting Evidence Fragments for Distant Supervision of Molecular Interactions. SemSci@ISWC Gully Burns, Pradeep Dasigi, Eduard H. Hovy
2017	A*	`conf`	Neural Semantic Parsing with Type Constraints for Semi-Structured Tables. EMNLP Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner
2017	—	`conf`	Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. ACL (1) Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy
2017	J	`jnl`	Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. CoRR Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy
2016	J	`jnl`	Automated detection of discourse segment and experimental types from the text of cancer pathway results sections. Database J. Biol. Databases Curation Gully A. P. C. Burns, Pradeep Dasigi, Anita de Waard, Eduard H. Hovy
2016	—	`conf`	Cycles of Scientific Investigation in Discourse - Machine Reading Methods for the Primary Research Contributions of a Paper. ICBO/BioCreative Gully A. P. C. Burns, Anita de Waard, Pradeep Dasigi, Eduard H. Hovy
2015	—	`conf`	Rapidly Scaling Dialog Systems with Interactive Learning. IWSDS Jason D. Williams, Nobal B. Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Carlos Garcia Jurado Suarez, Mouni Reddy, Geoffrey Zweig
2014	B	`conf`	Modeling Newswire Events using Neural Networks for Anomaly Detection. COLING Pradeep Dasigi, Eduard H. Hovy
2014	B	`conf`	Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon. LREC Mona T. Diab, Mohamed Al-Badrashiny, Maryam Aminian, Mohammed Attia, Heba Elfardy, Nizar Habash, Abdelati Hawwari, Wael Salloum, Pradeep Dasigi, Ramy Eskander
2013	—	`conf`	Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition. ACL (2) Nadi Tomeh, Nizar Habash, Ryan Roth, Noura Farra, Pradeep Dasigi, Mona T. Diab
2012	—	`conf`	Genre Independent Subgroup Detection in Online Discussion Threads: A Study of Implicit Attitude using Textual Latent Semantics. ACL (2) Pradeep Dasigi, Weiwei Guo, Mona T. Diab
2012	—	`conf`	Subgroup Detection in Ideological Discussions. ACL (1) Amjad Abu-Jbara, Pradeep Dasigi, Mona T. Diab, Dragomir R. Radev
2011	B	`conf`	CODACT: Towards Identifying Orthographic Variants in Dialectal Arabic. IJCNLP Pradeep Dasigi, Mona T. Diab
2011	—	`conf`	Named Entity Transliteration Generation Leveraging Statistical Machine Translation Technology. NEWS@IJCNLP Pradeep Dasigi, Mona T. Diab
2009	A*	`conf`	Experiments in CLIR using fuzzy string search based on surface similarity. SIGIR Sethuramalingam Subramaniam, Anil Kumar Singh, Pradeep Dasigi, Vasudeva Varma