Oyvind Tafjord

According to our database, Oyvind Tafjord authored at least 51 papers between 2016 and 2024.

Collaborative distances:

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

2024

OLMoE: Open Mixture-of-Experts Language Models.

Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi

CoRR, 2024

Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions.

Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hannaneh Hajishirzi, Ashish Sabharwal

CoRR, 2024

OLMES: A Standard for Language Model Evaluations.

Yuling Gu, Oyvind Tafjord, Bailey Kuehl, Dany Haddad, Jesse Dodge, Hannaneh Hajishirzi

CoRR, 2024

DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents.

Peter A. Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark

CoRR, 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

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo

CoRR, 2024

Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic.

Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter A. Jansen, Peter Clark, Benjamin Van Durme

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Evan Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Digital Socrates: Evaluating LLMs through Explanation Critiques.

Yuling Gu, Oyvind Tafjord, Peter Clark

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

OLMo: Accelerating the Science of Language Models.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Faithful Reasoning over Scientific Claims.

Neset Özkan Tan, Niket Tandon, David Wadden, Oyvind Tafjord, Mark Gahegan, Michael Witbrock

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

Paloma: A Benchmark for Evaluating Language Model Fit.

Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hannaneh Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge

CoRR, 2023

Catwalk: A Unified Language Model Evaluation Framework for Many Datasets.

Dirk Groeneveld, Anas Awadalla, Iz Beltagy, Akshita Bhagia, Ian Magnusson, Hao Peng, Oyvind Tafjord, Pete Walsh, Kyle Richardson, Jesse Dodge

CoRR, 2023

BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability.

Peter Clark, Bhavana Dalvi Mishra, Oyvind Tafjord

CoRR, 2023

CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization.

Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter A. Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, Peter Clark

CoRR, 2023

Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy.

Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal

CoRR, 2023

Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy.

Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Models with Rationality.

Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.

Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan

CoRR, 2022

Towards Teachable Reasoning Systems.

Bhavana Dalvi, Oyvind Tafjord, Peter Clark

CoRR, 2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.

Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning.

Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement.

Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Clark

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

LILA: A Unified Benchmark for Mathematical Reasoning.

Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

General-Purpose Question-Answering with Macaw.

Oyvind Tafjord, Peter Clark

CoRR, 2021

Enriching a Model's Notion of Belief using a Persistent Memory.

Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark

CoRR, 2021

Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge.

Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark

CoRR, 2021

BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief.

Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark

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

Explaining Answers with Entailment Trees.

Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark

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

"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding.

Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language.

Oyvind Tafjord, Bhavana Dalvi, Peter Clark

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge.

Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant

CoRR, 2020

UnifiedQA: Crossing Format Boundaries With a Single QA System.

Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi

CoRR, 2020

From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project.

Peter Clark, Oren Etzioni, Tushar Khot, Daniel Khashabi, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz

AI Mag., 2020

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge.

Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-class Hierarchical Question Classification for Multiple Choice Science Exams.

Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Transformers as Soft Reasoners over Language.

Peter Clark, Oyvind Tafjord, Kyle Richardson

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

"You are grounded!": Latent Name Artifacts in Pre-trained Language Models.

Vered Shwartz, Rachel Rudinger, Oyvind Tafjord

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

UnifiedQA: Crossing Format Boundaries With a Single QA System.

Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi

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

SUPP.AI: finding evidence for supplement-drug interactions.

Lucy Lu Wang, Oyvind Tafjord, Arman Cohan, Sarthak Jain, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Extracting evidence of supplement-drug interactions from literature.

Lucy Lu Wang, Oyvind Tafjord, Sarthak Jain, Arman Cohan, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar

CoRR, 2019

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions.

Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark

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

Reasoning Over Paragraph Effects in Situations.

Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships.

Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming.

Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 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

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord

CoRR, 2018

2017

Moving beyond the Turing Test with the Allen AI Science Challenge.

Carissa Schoenick, Peter Clark, Oyvind Tafjord, Peter D. Turney, Oren Etzioni

Commun. ACM, 2017

2016

Semantic Parsing to Probabilistic Programs for Situated Question Answering.

Jayant Krishnamurthy, Oyvind Tafjord

CoRR, 2016

Semantic Parsing to Probabilistic Programs for Situated Question Answering.

Jayant Krishnamurthy, Oyvind Tafjord, Aniruddha Kembhavi

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions.

Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter D. Turney, Daniel Khashabi

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016