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Peter Clark — all works

43 works · ← Peter Clark

  1. Think you have Solved Question Answering? Try ARC, the AI2 Reasoning ChallengearXiv:1803.05457Peter Clark, Isaac Cowhey, Oren Etzioni, et al.2018 · 2,394 citations
  2. Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetTodor Mihaylov et al.2018 · 1,687 citations
  3. Complexity-Based Prompting for Multi-Step ReasoningarXiv:2210.00720Yao Fu, Hao Peng, Ashish Sabharwal, et al.2022 · 345 citations
  4. Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical ReasoningarXiv:2209.14610Pan Lu, Liang Qiu, Kai-Wei Chang, et al.2022 · 219 citations
  5. Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetPeter E. Clark et al.2016 · 191 citations
  6. Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetBhavana Dalvi et al.2018 · 181 citations
  7. Reasoning Over Paragraph Effects in SituationsWorkshop on Machine Reading for Question AnsweringKevin Lin, Oyvind Tafjord, Peter Clark, et al.2019 · 176 citations
  8. Reasoning about Actions and State Changes by Injecting Commonsense Knowledge ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetNiket Tandon et al.2018 · 129 citations
  9. Question Answering via Integer Programming over Semi-Structured Knowledge ↗arXiv (Cornell University) · no summary yetDaniel Khashabi et al.2016 · 117 citations
  10. Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge! ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetPeter E. Clark2015 · 106 citations
  11. Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge ↗arXiv:2006.06609 · no summary yetAlon Talmor et al.2020 · 98 citations
  12. QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions ↗arXiv:1909.03553 · no summary yetOyvind Tafjord et al.2019 · 81 citations
  13. Domain-Targeted, High Precision Knowledge Extraction ↗Transactions of the Association for Computational Linguistics · no summary yetBhavana Dalvi Mishra, Niket Tandon, Peter Clark2017 · 72 citations
  14. General-Purpose Question-Answering with Macaw ↗arXiv:2109.02593 · no summary yetOyvind Tafjord, Peter Clark2021 · 65 citations
  15. BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief ↗arXiv:2109.14723 · no summary yetNora Kassner et al.2021 · 62 citations
  16. DiscoveryBench: Towards Data-Driven Discovery with Large Language Models ↗arXiv:2407.01725 · no summary yetBodhisattwa Prasad Majumder et al.2024 · 55 citations
  17. Exploring Markov Logic Networks for Question Answering ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetTushar Khot et al.2015 · 55 citations
  18. From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project ↗arXiv:1909.01958 · no summary yetPeter Clark et al.2019 · 48 citations
  19. CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and GeneralizationarXiv:2310.10134Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, et al.2023 · 34 citations
  20. IfQA: A Dataset for Open-domain Question Answering under Counterfactual PresuppositionsWenhao Yu, Meng Jiang, Peter Clark, et al.English · 26 citations
  21. Learning Biological Processes with Global Constraints ↗Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing · no summary yetAju Thalappillil Scaria et al.2013 · 25 citations
  22. IKE - An Interactive Tool for Knowledge Extraction ↗Proceedings of the 5th Workshop on Automated Knowledge Base Construction · no summary yetBhavana Dalvi et al.2016 · 24 citations
  23. Moving Beyond the Turing Test with the Allen AI Science ChallengearXiv:1604.04315Carissa Schoenick, Peter Clark, Oyvind Tafjord, et al.2016 · 22 citations
  24. The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetPeter Hase et al.2024 · 21 citations
  25. Data-driven Discovery with Large Generative ModelsarXiv:2402.13610Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, et al.2024 · 15 citations
  26. Language Modeling by Language Models ↗arXiv:2506.20249 · no summary yetJunyan Cheng, Peter Clark, Kyle Richardson2025 · 9 citations
  27. Markov Logic Networks for Natural Language Question Answering ↗arXiv (Cornell University) · no summary yetTushar Khot et al.2015 · 8 citations
  28. Constructing a Textual KB from a Biology TextBook ↗Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX) · no summary yetPeter Clark et al.2012 · 8 citations
  29. What Knowledge is Needed to Solve the RTE5 Textual Entailment Challenge?arXiv:1806.03561Peter Clark2018 · 7 citations
  30. Exploiting Paraphrases and Deferred Sense Commitment to Interpret Questions more Reliably ↗Coling 2010: Posters · no summary yetPeter Clark, Phil Harrison2010 · 4 citations

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