Peter Clark

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 155

Top Venues

CoRR

EMNLP

ACL (1)

EMNLP (1)

University of Strathclyde, Glasgow, UK (PHD)

Education History

University of Strathclyde, Glasgow, UK

PHD

Publications

Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills. CoRR (2024)
Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. ACL (1) (2024)
Yuling Gu, Oyvind Tafjord, Peter Clark
Digital Socrates: Evaluating LLMs through Explanation Critiques. ACL (1) (2024)
Peter A. Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents. CoRR (2024)
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models. CoRR (2024)
Li Zhang, Peter A. Jansen, Tianyi Zhang, Peter Clark, Chris Callison-Burch, Niket Tandon
PDDLEGO: Iterative Planning in Textual Environments. *SEM@NAACL (2024)
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark
Data-driven Discovery with Large Generative Models. CoRR (2024)
Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
Leveraging Code to Improve In-Context Learning for Semantic Parsing. NAACL-HLT (2024)
Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark
Learning to Reason via Program Generation, Emulation, and Search. CoRR (2024)
Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter A. Jansen
Can Language Models Serve as Text-Based World Simulators? CoRR (2024)
Li Zhang, Peter Jansen, Tianyi Zhang, Peter Clark, Chris Callison-Burch, Niket Tandon
PDDLEGO: Iterative Planning in Textual Environments. CoRR (2024)
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
QualEval: Qualitative Evaluation for Model Improvement. NAACL-HLT (2024)
Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon
Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization. ACL (Findings) (2024)
Tianyi Zhang, Li Zhang, Zhaoyi Hou, Ziyu Wang, Yuling Gu, Peter Clark, Chris Callison-Burch, Niket Tandon
PROC2PDDL: Open-Domain Planning Representations from Texts. CoRR (2024)
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
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. CoRR (2024)
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. ICLR (2024)
Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. CoRR (2024)
Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy. EMNLP (2023)
Yuling Gu, Oyvind Tafjord, Peter Clark
Digital Socrates: Evaluating LLMs through explanation critiques. CoRR (2023)
Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark
Language Models with Rationality. EMNLP (2023)
Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark
Language Models with Rationality. CoRR (2023)
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. EMNLP (2023)
Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter A. Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, Peter Clark
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization. CoRR (2023)
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark
Self-Refine: Iterative Refinement with Self-Feedback. NeurIPS (2023)
Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. EMNLP (2023)
Afra Feyza Akyürek, Ekin Akyürek, Ashwin Kalyan, Peter Clark, Derry Tanti Wijaya, Niket Tandon
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL (1) (2023)
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, Peter Clark
Self-Refine: Iterative Refinement with Self-Feedback. CoRR (2023)
Peter Clark, Bhavana Dalvi Mishra, Oyvind Tafjord
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability. CoRR (2023)
Yuling Gu, Bhavana Dalvi Mishra, Peter Clark
Do language models have coherent mental models of everyday things? ACL (1) (2023)
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
QualEval: Qualitative Evaluation for Model Improvement. CoRR (2023)
Afra Feyza Akyürek, Ekin Akyürek, Aman Madaan, Ashwin Kalyan, Peter Clark, Derry Wijaya, Niket Tandon
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. CoRR (2023)
Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon
One Size Does Not Fit All: Customizing Open-Domain Procedures. CoRR (2023)
Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. CoRR (2023)
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. ICLR (2023)
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. CoRR (2023)
Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal
Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy. CoRR (2023)
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. CoRR (2023)
Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot
ADaPT: As-Needed Decomposition and Planning with Language Models. CoRR (2023)
Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot
Complexity-Based Prompting for Multi-step Reasoning. ICLR (2023)
Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. ICLR (2023)
Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
Leveraging Code to Improve In-context Learning for Semantic Parsing. CoRR (2023)
Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. ACL (1) (2022)
Yuling Gu, Yao Fu, Valentina Pyatkin, Ian Magnusson, Bhavana Dalvi Mishra, Peter Clark
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE. CoRR (2022)
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. CoRR (2022)
Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. CoRR (2022)
Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. EMNLP (2022)
Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot
Complexity-Based Prompting for Multi-Step Reasoning. CoRR (2022)
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
LILA: A Unified Benchmark for Mathematical Reasoning. EMNLP (2022)
Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning. CoRR (2022)
Yuling Gu, Bhavana Dalvi, Peter Clark
DREAM: Improving Situational QA by First Elaborating the Situation. NAACL-HLT (2022)
Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang
Memory-assisted prompt editing to improve GPT-3 after deployment. EMNLP (2022)
Bhavana Dalvi, Oyvind Tafjord, Peter Clark
Towards Teachable Reasoning Systems. CoRR (2022)
Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. NeurIPS (2022)
Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Clark
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement. EMNLP (2022)
Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. CoRR (2022)
Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang
Memory-assisted prompt editing to improve GPT-3 after deployment. CoRR (2022)
Yuling Gu, Bhavana Dalvi Mishra, Peter Clark
Do language models have coherent mental models of everyday things? CoRR (2022)
Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning. EMNLP (2022)
Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. CoRR (2022)
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
Lila: A Unified Benchmark for Mathematical Reasoning. CoRR (2022)
Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang
Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback. NAACL-HLT (Findings) (2022)
Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. CoRR (2022)
Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark
How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. CoRR (2021)
Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang
Interscript: A dataset for interactive learning of scripts through error feedback. CoRR (2021)
Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy
Think about it! Improving defeasible reasoning by first modeling the question scenario. CoRR (2021)
Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. EMNLP (1) (2021)
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
proScript: Partially Ordered Scripts Generation. EMNLP (Findings) (2021)
Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy
CURIE: An Iterative Querying Approach for Reasoning About Situations. CoRR (2021)
Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark
Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge. CoRR (2021)
Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. NAACL-HLT (2021)
Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. EMNLP (1) (2021)
Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. CoRR (2021)
Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark
Explaining Answers with Entailment Trees. CoRR (2021)
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models. CoRR (2021)
Oyvind Tafjord, Bhavana Dalvi, Peter Clark
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language. ACL/IJCNLP (Findings) (2021)
Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang
Improving scripts with a memory of natural feedback. CoRR (2021)
Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Eduard H. Hovy
Improving Neural Model Performance through Natural Language Feedback on Their Explanations. CoRR (2021)
Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark
Explaining Answers with Entailment Trees. EMNLP (1) (2021)
Oyvind Tafjord, Peter Clark
General-Purpose Question-Answering with Macaw. CoRR (2021)
Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy
Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP (1) (2021)
Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark
Enriching a Model's Notion of Belief using a Persistent Memory. CoRR (2021)
Yuling Gu, Bhavana Dalvi Mishra, Peter Clark
DREAM: Uncovering Mental Models behind Language Models. CoRR (2021)
Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi Mishra, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy
A Dataset for Tracking Entities in Open Domain Procedural Text. CoRR (2020)
Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge. NeurIPS (2020)
Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy
What-if I ask you to explain: Explaining the effects of perturbations in procedural text. CoRR (2020)
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi
UnifiedQA: Crossing Format Boundaries With a Single QA System. CoRR (2020)
Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant
Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge. CoRR (2020)
Peter Clark, John A. Thompson, Bruce W. Porter
Knowledge Patterns. CoRR (2020)
Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. CoRR (2020)
Harsh Jhamtani, Peter Clark
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering. EMNLP (1) (2020)
Peter Clark, Oyvind Tafjord, Kyle Richardson
Transformers as Soft Reasoners over Language. IJCAI (2020)
Peter Clark, Oyvind Tafjord, Kyle Richardson
Transformers as Soft Reasoners over Language. CoRR (2020)
Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language. CoRR (2020)
Sumithra Bhakthavatsalam, Kyle Richardson, Niket Tandon, Peter Clark
Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations. CoRR (2020)
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
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. AI Mag. 41 (4) (2020)
Harsh Jhamtani, Peter Clark
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering. CoRR (2020)
Sumithra Bhakthavatsalam, Chloe Anastasiades, Peter Clark
GenericsKB: A Knowledge Base of Generic Statements. CoRR (2020)
Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy
A Dataset for Tracking Entities in Open Domain Procedural Text. EMNLP (1) (2020)
Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. LREC (2020)
Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy
What-if I ask you to explain: Explaining the effects of perturbations in procedural text. EMNLP (Findings) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Peter Clark