Oyvind Tafjord

87 papers A* 19B 1Journal 52Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
PreScience: A Benchmark for Forecasting Scientific Contributions.
CoRR
Anirudh Ajith, Amanpreet Singh, Jay DeYoung, Nadav Kunievsky, Austin C. Kozlowski, Oyvind Tafjord, James Evans, Daniel S. Weld, Tom Hope, Doug Downey
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
Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions.
ICLR
Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hannaneh Hajishirzi, Ashish Sabharwal
2025 J jnl
Because we have LLMs, we Can and Should Pursue Agentic Interpretability.
CoRR
Been Kim, John Hewitt, Neel Nanda, Noah Fiedel, Oyvind Tafjord
2025 — conf
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation.
ACL (Findings)
Peter Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Peter Clark
2025 J jnl
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation.
CoRR
Peter A. Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Peter Clark
2025 A* conf
DataDecide: How to Predict Best Pretraining Data with Small Experiments.
ICML
Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge
2025 J jnl
DataDecide: How to Predict Best Pretraining Data with Small Experiments.
CoRR
Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge
2025 A* conf
From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering.
ICLR
Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller, Oyvind Tafjord, Sam Hornstein, Alexander Sabol, Peter A. Jansen, Benjamin Van Durme, Peter Clark
2025 J jnl
Neologism Learning for Controllability and Self-Verbalization.
CoRR
John Hewitt, Oyvind Tafjord, Robert Geirhos, Been Kim
2025 — conf
OLMES: A Standard for Language Model Evaluations.
NAACL (Findings)
Yuling Gu, Oyvind Tafjord, Bailey Kuehl, Dany Haddad, Jesse Dodge, Hannaneh Hajishirzi
2025 A* conf
OLMoE: Open Mixture-of-Experts Language Models.
ICLR
Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Evan 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, et al.
2024 J jnl
Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions.
CoRR
Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hannaneh Hajishirzi, Ashish Sabharwal
2024 J jnl
DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents.
CoRR
Peter A. Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
2024 — conf
Digital Socrates: Evaluating LLMs through Explanation Critiques.
ACL (1)
Yuling Gu, Oyvind Tafjord, Peter Clark
2024 A* conf
DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents.
NeurIPS
Peter A. Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
2024 — conf
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.
ACL (1)
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
2024 J jnl
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.
CoRR
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
2024 A* conf
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic.
EMNLP
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
2024 J jnl
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic.
CoRR
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
2024 J jnl
Establishing Task Scaling Laws via Compute-Efficient Model Ladders.
CoRR
Akshita Bhagia, Jiacheng Liu, Alexander Wettig, David Heineman, Oyvind Tafjord, Ananya Harsh Jha, Luca Soldaini, Noah A. Smith, Dirk Groeneveld, Pang Wei Koh, Jesse Dodge, Hannaneh Hajishirzi
2024 — conf
Faithful Reasoning over Scientific Claims.
AAAI Spring Symposia
Neset Özkan Tan, Niket Tandon, David Wadden, Oyvind Tafjord, Mark Gahegan, Michael Witbrock
2024 J jnl
From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question Answering.
CoRR
Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller, Oyvind Tafjord, Sam Hornstein, Alexander Sabol, Peter Jansen, Benjamin Van Durme, Peter Clark
2024 J jnl
OLMES: A Standard for Language Model Evaluations.
CoRR
Yuling Gu, Oyvind Tafjord, Bailey Kuehl, Dany Haddad, Jesse Dodge, Hannaneh Hajishirzi
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
OLMoE: Open Mixture-of-Experts Language Models.
CoRR
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
2024 A* conf
Paloma: A Benchmark for Evaluating Language Model Fit.
NeurIPS
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, Hanna Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge
2024 J jnl
SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs.
CoRR
Yuling Gu, Oyvind Tafjord, Hyunwoo Kim, Jared Moore, Ronan Le Bras, Peter Clark, Yejin Choi
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 J jnl
Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy.
CoRR
Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal
2023 J jnl
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability.
CoRR
Peter Clark, Bhavana Dalvi Mishra, Oyvind Tafjord
2023 J jnl
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization.
CoRR
Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter A. Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, Peter Clark
2023 J jnl
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets.
CoRR
Dirk Groeneveld, Anas Awadalla, Iz Beltagy, Akshita Bhagia, Ian Magnusson, Hao Peng, Oyvind Tafjord, Pete Walsh, Kyle Richardson, Jesse Dodge
2023 J jnl
Digital Socrates: Evaluating LLMs through explanation critiques.
CoRR
Yuling Gu, Oyvind Tafjord, Peter Clark
2023 A* conf
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy.
EMNLP
Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal
2023 A* conf
Language Models with Rationality.
EMNLP
Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark
2023 J jnl
Language Models with Rationality.
CoRR
Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark
2023 J jnl
Paloma: A Benchmark for Evaluating Language Model Fit.
CoRR
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
2022 A* conf
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning.
EMNLP
Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
2022 J jnl
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning.
CoRR
Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
2022 A* conf
LILA: A Unified Benchmark for Mathematical Reasoning.
EMNLP
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
2022 A* conf
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.
NeurIPS
Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
2022 J jnl
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.
CoRR
Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
2022 J jnl
Lila: A Unified Benchmark for Mathematical Reasoning.
CoRR
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
2022 J jnl
Towards Teachable Reasoning Systems.
CoRR
Bhavana Dalvi, Oyvind Tafjord, Peter Clark
2022 A* conf
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement.
EMNLP
Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Clark
2021 — conf
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding.
EMNLP (Findings)
Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
2021 J jnl
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding.
CoRR
Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
2021 — conf
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief.
EMNLP (1)
Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark
2021 J jnl
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief.
CoRR
Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark
2021 J jnl
Enriching a Model's Notion of Belief using a Persistent Memory.
CoRR
Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark
2021 — conf
Explaining Answers with Entailment Trees.
EMNLP (1)
Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark
2021 J jnl
Explaining Answers with Entailment Trees.
CoRR
Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark
2021 J jnl
General-Purpose Question-Answering with Macaw.
CoRR
Oyvind Tafjord, Peter Clark
2021 — conf
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language.
ACL/IJCNLP (Findings)
Oyvind Tafjord, Bhavana Dalvi, Peter Clark
2021 J jnl
Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge.
CoRR
Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark
2020 — conf
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models.
EMNLP (1)
Vered Shwartz, Rachel Rudinger, Oyvind Tafjord
2020 J jnl
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models.
CoRR
Vered Shwartz, Rachel Rudinger, Oyvind Tafjord
2020 J jnl
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project.
AI Mag.
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
2020 A* conf
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge.
NeurIPS
Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant
2020 B conf
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams.
LREC
Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark
2020 J jnl
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language.
CoRR
Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
2020 — conf
SUPP.AI: finding evidence for supplement-drug interactions.
ACL (demo)
Lucy Lu Wang, Oyvind Tafjord, Arman Cohan, Sarthak Jain, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar
2020 J jnl
Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge.
CoRR
Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant
2020 A* conf
Transformers as Soft Reasoners over Language.
IJCAI
Peter Clark, Oyvind Tafjord, Kyle Richardson
2020 J jnl
Transformers as Soft Reasoners over Language.
CoRR
Peter Clark, Oyvind Tafjord, Kyle Richardson
2020 — conf
UnifiedQA: Crossing Format Boundaries With a Single QA System.
EMNLP (Findings)
Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi
2020 J jnl
UnifiedQA: Crossing Format Boundaries With a Single QA System.
CoRR
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi
2019 A* conf
Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming.
AAAI
Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral
2019 J jnl
Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming.
CoRR
Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral
2019 J jnl
Extracting evidence of supplement-drug interactions from literature.
CoRR
Lucy Lu Wang, Oyvind Tafjord, Sarthak Jain, Arman Cohan, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar
2019 J jnl
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project.
CoRR
Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz
2019 J jnl
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams.
CoRR
Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark
2019 A* conf
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships.
AAAI
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
2019 — conf
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions.
EMNLP/IJCNLP (1)
Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark
2019 J jnl
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions.
CoRR
Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark
2019 — conf
Reasoning Over Paragraph Effects in Situations.
MRQA@EMNLP
Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner
2019 J jnl
Reasoning Over Paragraph Effects in Situations.
CoRR
Kevin Lin, Oyvind Tafjord, Peter Clark, 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 J jnl
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships.
CoRR
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
2018 J jnl
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
CoRR
Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord
2017 J jnl
Moving beyond the Turing Test with the Allen AI Science Challenge.
Commun. ACM
Carissa Schoenick, Peter Clark, Oyvind Tafjord, Peter D. Turney, Oren Etzioni
2016 A* conf
Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions.
AAAI
Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter D. Turney, Daniel Khashabi
2016 J jnl
Moving Beyond the Turing Test with the Allen AI Science Challenge.
CoRR
Carissa Schoenick, Peter Clark, Oyvind Tafjord, Peter D. Turney, Oren Etzioni
2016 A* conf
Semantic Parsing to Probabilistic Programs for Situated Question Answering.
EMNLP
Jayant Krishnamurthy, Oyvind Tafjord, Aniruddha Kembhavi
2016 J jnl
Semantic Parsing to Probabilistic Programs for Situated Question Answering.
CoRR
Jayant Krishnamurthy, Oyvind Tafjord, Aniruddha Kembhavi