Peter Clark
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
103
Venues
17
Active years
1992–2026
Best venue rank
A*
Where they publish
Papers
103 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Generating Literature-Driven Scientific Theories at Scale. | Peter Jansen, Peter Clark, Doug Downey, Daniel S. Weld |
| 2025 | ACL | CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation. | Peter Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Peter Clark |
| 2025 | EMNLP | HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance. | Rosni Vasu, Chandrayee Basu, Bhavana Dalvi Mishra, Cristina Sarasua, Peter Clark, Abraham Bernstein |
| 2025 | ICLR | DiscoveryBench: Towards Data-Driven Discovery with Large Language Models. | Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2025 | ICLR | From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering. | Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller, Oyvind Tafjord, Sam Hornstein, Alexander Sabol, Peter A. Jansen, Benjamin Van Durme, Peter Clark |
| 2025 | ICML | ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning. | Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi |
| 2025 | NAACL | Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision. | Zhouhang Xie, Tushar Khot, Bhavana Dalvi Mishra, Harshit Surana, Julian J. McAuley, Peter Clark, Bodhisattwa Prasad Majumder |
| 2024 | ACL | Digital Socrates: Evaluating LLMs through Explanation Critiques. | Yuling Gu, Oyvind Tafjord, Peter Clark |
| 2024 | ACL | The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. | Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe |
| 2024 | ACL | Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization. | Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon |
| 2024 | ACL | Can Language Models Serve as Text-Based World Simulators? | Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Ct, Peter Clark, Peter A. Jansen |
| 2024 | EMNLP | SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories. | Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. | Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot |
| 2024 | ICML | Position: Data-driven Discovery with Large Generative Models. | Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark |
| 2024 | ICML | Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills. | Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox |
| 2024 | IJCAI | NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning. | Nathaniel Weir, Peter Clark, Benjamin Van Durme |
| 2024 | NAACL | Leveraging Code to Improve In-Context Learning for Semantic Parsing. | Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal |
| 2024 | NAACL | QualEval: Qualitative Evaluation for Model Improvement. | Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan |
| 2024 | NAACL | ADaPT: As-Needed Decomposition and Planning with Language Models. | Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot |
| 2023 | ACL | RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. | Afra Feyza Akyrek, Ekin Akyrek, Ashwin Kalyan, Peter Clark, Derry Tanti Wijaya, Niket Tandon |
| 2023 | ACL | Do language models have coherent mental models of everyday things? | Yuling Gu, Bhavana Dalvi Mishra, Peter Clark |
| 2023 | EMNLP | IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. | Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal |
| 2023 | EMNLP | Language Models with Rationality. | Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schtze, Peter Clark |
| 2023 | EMNLP | Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. | Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan |
| 2023 | EMNLP | Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy. | Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal |
| 2023 | ICLR | Complexity-Based Prompting for Multi-step Reasoning. | Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot |
| 2023 | ICLR | Decomposed Prompting: A Modular Approach for Solving Complex Tasks. | Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal |
| 2023 | ICLR | Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. | Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan |
| 2022 | ACL | NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. | Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan |
| 2022 | EMNLP | What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. | Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark |
| 2022 | EMNLP | Memory-assisted prompt editing to improve GPT-3 after deployment. | Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement. | Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Clark |
| 2022 | EMNLP | Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning. | Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark |
| 2022 | NAACL | DREAM: Improving Situational QA by First Elaborating the Situation. | Yuling Gu, Bhavana Dalvi, Peter Clark |
| 2022 | NAACL | Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback. | Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang |
| 2021 | ACL | ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language. | Oyvind Tafjord, Bhavana Dalvi, Peter Clark |
| 2021 | EMNLP | Explaining Answers with Entailment Trees. | Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark |
| 2021 | EMNLP | How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. | Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark |
| 2021 | EMNLP | BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. | Nora Kassner, Oyvind Tafjord, Hinrich Schtze, Peter Clark |
| 2021 | EMNLP | Think about it! Improving defeasible reasoning by first modeling the question scenario. | Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy |
| 2021 | EMNLP | proScript: Partially Ordered Scripts Generation. | Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi |
| 2021 | NAACL | Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. | Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal |
| 2020 | AAAI | QASC: A Dataset for Question Answering via Sentence Composition. | Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, Ashish Sabharwal |
| 2020 | EMNLP | Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering. | Harsh Jhamtani, Peter Clark |
| 2020 | EMNLP | UnifiedQA: Crossing Format Boundaries With a Single QA System. | Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi |
| 2020 | EMNLP | What-if I ask you to explain: Explaining the effects of perturbations in procedural text. | Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy |
| 2020 | EMNLP | A Dataset for Tracking Entities in Open Domain Procedural Text. | Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy |
| 2020 | IJCAI | Transformers as Soft Reasoners over Language. | Peter Clark, Oyvind Tafjord, Kyle Richardson |
| 2020 | LREC | 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 |
| 2019 | AAAI | Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming. | Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral |
| 2019 | AAAI | QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. | Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal |
| 2019 | ACL | Exploiting Explicit Paths for Multi-hop Reading Comprehension. | Souvik Kundu, Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2019 | EMNLP | Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. | Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark |
| 2019 | EMNLP | What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering. | Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2019 | EMNLP | QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. | Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark |
| 2019 | EMNLP | WIQA: A dataset for "What if..." reasoning over procedural text. | Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark, Antoine Bosselut |
| 2019 | NAACL | Be Consistent! Improving Procedural Text Comprehension using Label Consistency. | Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie |
| 2018 | AAAI | SciTaiL: A Textual Entailment Dataset from Science Question Answering. | Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2018 | EMNLP | Bridging Knowledge Gaps in Neural Entailment via Symbolic Models. | Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2018 | EMNLP | Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. | Todor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal |
| 2018 | EMNLP | Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. | Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark |
| 2018 | KR | Knowledge Representation and Reasoning in Answering Science Questions: A Case Study for Food Web Questions. | Arindam Mitra, Chitta Baral, Peter Clark |
| 2018 | NAACL | Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension. | Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark |
| 2017 | ACL | Answering Complex Questions Using Open Information Extraction. | Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2017 | CoNLL | Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification. | Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Marco Antonio Valenzuela-Escrcega, Peter Clark, Michael Hammond |
| 2016 | AAAI | 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 |
| 2016 | COLING | What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams. | Peter Jansen, Niranjan Balasubramanian, Mihai Surdeanu, Peter Clark |
| 2016 | EMNLP | Cross Sentence Inference for Process Knowledge. | Samuel Louvan, Chetan Naik, Sadhana Kumaravel, Heeyoung Kwon, Niranjan Balasubramanian, Peter Clark |
| 2016 | EMNLP | Creating Causal Embeddings for Question Answering with Minimal Supervision. | Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark, Michael Hammond |
| 2016 | IJCAI | Question Answering via Integer Programming over Semi-Structured Knowledge. | Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni, Dan Roth |
| 2015 | AAAI | Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge! | Peter Clark |
| 2015 | EMNLP | Exploring Markov Logic Networks for Question Answering. | Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni |
| 2015 | EMNLP | Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge. | Yang Li, Peter Clark |
| 2015 | NAACL | Learning Knowledge Graphs for Question Answering through Conversational Dialog. | Ben Hixon, Peter Clark, Hannaneh Hajishirzi |
| 2015 | NAACL | Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering. | Rebecca Sharp, Peter Jansen, Mihai Surdeanu, Peter Clark |
| 2014 | ACL | Discourse Complements Lexical Semantics for Non-factoid Answer Reranking. | Peter Jansen, Mihai Surdeanu, Peter Clark |
| 2014 | EMNLP | Modeling Biological Processes for Reading Comprehension. | Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, Christopher D. Manning |
| 2013 | ACL | Automatic Coupling of Answer Extraction and Information Retrieval. | Xuchen Yao, Benjamin Van Durme, Peter Clark |
| 2013 | ACL | A Lightweight and High Performance Monolingual Word Aligner. | Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark |
| 2013 | CIKM | A study of the knowledge base requirements for passing an elementary science test. | Peter Clark, Philip Harrison, Niranjan Balasubramanian |
| 2013 | CIKM | Extracting meronyms for a biology knowledge base using distant supervision. | Xiao Ling, Peter Clark, Daniel S. Weld |
| 2013 | EMNLP | Learning Biological Processes with Global Constraints. | Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Peter Clark, Justin Lewis, Brittany Harding, Christopher D. Manning |
| 2013 | EMNLP | Semi-Markov Phrase-Based Monolingual Alignment. | Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark |
| 2013 | NAACL | Answer Extraction as Sequence Tagging with Tree Edit Distance. | Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark |
| 2012 | NAACL | Constructing a Textual KB from a Biology TextBook. | Peter Clark, Philip Harrison, Niranjan Balasubramanian, Oren Etzioni |
| 2011 | AIED | Untitled record | Aaron Spaulding, Adam Overholtzer, John Pacheco, Jing Tien, Vinay K. Chaudhri, David Gunning, Peter Clark |
| 2010 | COLING | Exploiting Paraphrases and Deferred Sense Commitment to Interpret Questions more Reliably. | Peter Clark, Philip Harrison |
| 2008 | EKAW | Knowledge Patterns. | Peter Clark |
| 2007 | AAAI | AURA: Enabling Subject Matter Experts to Construct Declarative Knowledge Bases from Science Textbooks. | Ken Barker, Vinay K. Chaudhri, Shaw Yi Chaw, Peter Clark, Daniel Hansch, Bonnie E. John, Sunil Mishra, John Pacheco, Bruce W. Porter, Aaron Spaulding, Moritz Weiten |
| 2005 | FlAIRS | Acquiring and Using World Knowledge Using a Restricted Subset of English. | Peter Clark, Philip Harrison, Thomas Jenkins, John A. Thompson, Richard H. Wojcik |
| 2004 | EKAW | Graph-Based Acquisition of Expressive Knowledge. | Vinay K. Chaudhri, Kenneth S. Murray, John Pacheco, Peter Clark, Bruce W. Porter, Patrick J. Hayes |
| 2004 | KR | A Question-Answering System for AP Chemistry: Assessing KR&R Technologies. | Ken Barker, Vinay K. Chaudhri, Shaw Yi Chaw, Peter Clark, James Fan, David J. Israel, Sunil Mishra, Bruce W. Porter, Pedro Romero, Dan Tecuci, Peter Z. Yeh |
| 2004 | KR | Towards a Quantitative, Platform-Independent Analysis of Knowledge Systems. | Noah S. Friedland, Paul G. Allen, Michael Witbrock, Gavin Matthews, Nancy Salay, Pierluigi Miraglia, Jrgen Angele, Steffen Staab, David J. Israel, Vinay K. Chaudhri, Bruce W. Porter, Ken Barker, Peter Clark |
| 2003 | IAAI | A Knowledge Acquisition Tool for Course of Action Analysis. | Kim Barker, Jim Blythe, Gary C. Borchardt, Vinay K. Chaudhri, Peter Clark, Paul R. Cohen, Julie Fitzgerald, Kenneth D. Forbus, Yolanda Gil, Boris Katz, Jihie Kim, Gary W. King, Sunil Mishra, Clayton T. Morrison, Kenneth S. Murray, Charley Otstott, Bruce W. Porter, Robert Schrag, Toms E. Uribe, Jeffrey M. Usher, Peter Z. Yeh |
| 2002 | AAAI | A Web-Based Ontology Browsing and Editing System. | Jrme Thomr, Ken Barker, Vinay K. Chaudhri, Peter Clark, Michael Eriksen, Sunil Mishra, Bruce W. Porter, Andres C. Rodriguez |
| 2000 | AAAI | Exploiting a Thesaurus-Based Semantic Net for Knowledge-Based Search. | Peter Clark, John A. Thompson, Heather Holmback, Lisbeth Duncan |
| 2000 | KR | Knowledge Patterns. | Peter Clark, John A. Thompson, Bruce W. Porter |
| 1997 | AAAI | Building Concept Representations from Reusable Components. | Peter Clark, Bruce W. Porter |
| 1997 | ICCS | Using Access paths to Guide Inference with Conceptual Graphs. | Peter Clark, Bruce W. Porter |
| 1993 | ICML | Using Qualitative Models to Guide Inductive Learning. | Peter Clark, Stan Matwin |
| 1992 | ICML | Lazy Partial Evaluation: An Integration of Explanation-Based Generalization and Partial Evaluation. | Peter Clark, Robert C. Holte |