Induction in Noisy Domains. - Peter Clark; Tim Niblett (EWSL, 1987)

The Value of Information. - Catherine Griffiths; Peter Clark (J. Inf. Technol., 1987)

Representing Arguments as Background Knowledge for Constraining Gereralisation. - Peter Clark (EWSL, 1988)

The CN2 Induction Algorithm. - Peter Clark; Tim Niblett (Mach. Learn., 1989)

Rule Induction with CN2: Some Recent Improvements. - Peter Clark; Robin Boswell (EWSL, 1991)

Panel: Applications of Machine Learning: Notes from the Panel Members. - Peter Clark; Bojan Cestnik; Claude Sammut; Joachim Stender (EWSL, 1991)

A model of argumentation and its application in a cooperative expert system. - Peter Clark (1991)

Lazy Partial Evaluation: An Integration of Explanation-Based Generalization and Partial Evaluation. - Peter Clark; Robert C. Holte (ML, 1992)

Learning Domain Theories using Abstract Beckground Knowledge. - Peter Clark; Stan Matwin (ECML, 1993)

Using Qualitative Models to Guide Inductive Learning. - Peter Clark; Stan Matwin (ICML, 1993)

Developing business applications with OpenStep. - Nik Gervae; Peter Clark (Springer, 1997)

Building Concept Representations from Reusable Components. - Peter Clark; Bruce W. Porter (AAAI/IAAI, 1997)

Using Access paths to Guide Inference with Conceptual Graphs. - Peter Clark; Bruce W. Porter (ICCS, 1997)

Improving Image Classification by Combining Statistical, Case-Based and Model Based Prediction Methods. - Peter Clark; Cao Feng; Stan Matwin; Ko Fung (Fundam. Informaticae, 1997)

Exploiting a Thesaurus-Based Semantic Net for Knowledge-Based Search. - Peter Clark; John A. Thompson; Heather Holmback; Lisbeth Duncan (AAAI/IAAI, 2000)

Knowledge Patterns. - Peter Clark; John A. Thompson; Bruce W. Porter (KR, 2000)

A library of generic concepts for composing knowledge bases. - Ken Barker 002; Bruce W. Porter; Peter Clark (K-CAP, 2001)

Knowledge entry as the graphical assembly of components. - Peter Clark; John A. Thompson; Ken Barker 002; Bruce W. Porter; Vinay K. Chaudhri; Andres C. Rodriguez; Jérôme Thoméré; Sunil Mishra; Yolanda Gil; Patrick J. Hayes; Thomas Reichherzer (K-CAP, 2001)

Representing roles and purpose. - James Fan; Ken Barker 002; Bruce W. Porter; Peter Clark (K-CAP, 2001)

A Web-Based Ontology Browsing and Editing System. - Jérôme Thoméré; Ken Barker 002; Vinay K. Chaudhri; Peter Clark; Michael Eriksen; Sunil Mishra; Bruce W. Porter; Andres C. Rodriguez (AAAI/IAAI, 2002)

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; et al. (IAAI, 2003)

Enabling domain experts to convey questions to a machine: a modified, template-based approach. - Peter Clark; Vinay K. Chaudhri; Sunil Mishra; Jérôme Thoméré; Ken Barker 002; Bruce W. Porter (K-CAP, 2003)

Knowledge-Driven Text Interpretation and Question-Answering: Some Current Activities at Boeing Math and Computing Technology. - Peter Clark; Philip Harrison; Thomas Jenkins; John A. Thompson; Richard H. Wojcik (New Directions in Question Answering, 2003)

A Semantic Infosphere. - Michael Uschold; Peter Clark; Fred Dickey; Casey K. Fung; Sonia Smith; Stephen A. Uczekaj; Michael Wilke; Sean Bechhofer; Ian Horrocks 001 (ISWC, 2003)

Network QoS for Grid Systems. - Saleem N. Bhatti; Søren-Aksel Sørensen; Peter Clark; Jon Crowcroft (Int. J. High Perform. Comput. Appl., 2003)

Knowledge Patterns. - Peter Clark; John A. Thompson; Bruce W. Porter (Handbook on Ontologies, 2004)

Graph-Based Acquisition of Expressive Knowledge. - Vinay K. Chaudhri; Kenneth S. Murray; John Pacheco; Peter Clark; Bruce W. Porter; Patrick J. Hayes (EKAW, 2004)

A Question-Answering System for AP Chemistry: Assessing KR&R Technologies. - Ken Barker 002; 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 (KR, 2004)

Towards a Quantitative, Platform-Independent Analysis of Knowledge Systems. - Noah S. Friedland; Paul G. Allen; Michael Witbrock; Gavin Matthews; Nancy Salay; Pierluigi Miraglia; Jürgen Angele; Steffen Staab; David J. Israel; Vinay K. Chaudhri; Bruce W. Porter; Ken Barker 002; et al. (KR, 2004)

Project Halo: Towards a Digital Aristotle. - Noah S. Friedland; Paul G. Allen; Gavin Matthews; Michael Witbrock; David Baxter; Jon Curtis; Blake Shepard; Pierluigi Miraglia; Jürgen Angele; Steffen Staab; Eddie Mönch; Henrik Oppermann; et al. (AI Mag., 2004)

Acquiring and Using World Knowledge Using a Restricted Subset of English. - Peter Clark; Philip Harrison; Thomas Jenkins; John A. Thompson; Richard H. Wojcik (FLAIRS, 2005)

From WordNet to a Knowlege Base. - Peter Clark; Philip Harrison; Tom Jenkins; John A. Thompson; Rick Wojcik (AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering, 2006)

The Logicism of Frege, Dedekind, and Russell. - William Demopoulos; Peter Clark (The Oxford Handbook of Philosophy of Mathematics and Logic, 2007)

AURA: Enabling Subject Matter Experts to Construct Declarative Knowledge Bases from Science Textbooks. - Ken Barker 002; Vinay K. Chaudhri; Shaw Yi Chaw; Peter Clark; Daniel Hansch; Bonnie E. John; Sunil Mishra; John Pacheco; Bruce W. Porter; Aaron Spaulding; Moritz Weiten (AAAI, 2007)

Reading to Learn: An Investigation into Language Understanding. - Peter Clark; Philip Harrison; John A. Thompson; Rick Wojcik; Tom Jenkins; David J. Israel (AAAI Spring Symposium: Machine Reading, 2007)

Capturing and answering questions posed to a knowledge-based system. - Peter Clark; Shaw Yi Chaw; Ken Barker 002; Vinay K. Chaudhri; Philip Harrison; James Fan; Bonnie E. John; Bruce W. Porter; Aaron Spaulding; John A. Thompson; Peter Z. Yeh (K-CAP, 2007)

Project Hindsight: Exploring Necessity and Possibility in Cycles of Structuration and Co-Evolution. - Peter Clark; Charles Booth; Michael Rowlinson; Stephen Procter; Agnes Delahaye (Technol. Anal. Strateg. Manag., 2007)

Boeing's NLP System and the Challenges of Semantic Representation. - Peter Clark; Philip Harrison (STEP, 2008)

Knowledge Patterns. - Peter Clark (EKAW, 2008)

Recognizing Textual Entailment with Logical Inference. - Peter Clark; Philip Harrison (TAC, 2008)

A Study of Machine Reading from Multiple Texts. - Peter Clark; John A. Thompson (AAAI Spring Symposium: Learning by Reading and Learning to Read, 2009)

Naturalness vs. Predictability: A Key Debate in Controlled Languages. - Peter Clark; William R. Murray; Philip Harrison; John A. Thompson (CNL, 2009)

Large-scale extraction and use of knowledge from text. - Peter Clark; Philip Harrison (K-CAP, 2009)

An Inference-Based Approach to Recognizing Entailment. - Peter Clark; Philip Harrison (TAC, 2009)

Exploiting Paraphrases and Deferred Sense Commitment to Interpret Questions more Reliably. - Peter Clark; Philip Harrison (COLING (Posters), 2010)

IPUMS International: Expanding Support for International Comparison and Data Access. - Wendy Thomas; Peter Clark (IASSIST, 2010)

The Sixth PASCAL Recognizing Textual Entailment Challenge. - Luisa Bentivogli; Peter Clark; Ido Dagan; Danilo Giampiccolo (TAC, 2010)

BLUE-Lite: a Knowledge-Based Lexical Entailment System for RTE6. - Peter Clark; Philip Harrison (TAC, 2010)

Project Halo Update - Progress Toward Digital Aristotle. - David Gunning; Vinay K. Chaudhri; Peter Clark; Ken Barker 002; Shaw Yi Chaw; Mark Greaves; Benjamin N. Grosof; Alice Leung; David D. McDonald 002; Sunil Mishra; John Pacheco; Bruce W. Porter; et al. (AI Mag., 2010)

Inquire for iPad: A Biology Textbook That Answers Questions. - Aaron Spaulding; Adam Overholtzer; John Pacheco; Jing Tien; Vinay K. Chaudhri; David Gunning; Peter Clark (AIED, 2011)

Preliminary steps towards a knowledge factory process. - Vinay K. Chaudhri; Nikhil Dinesh; John Pacheco; Gary Ng; Peter Clark; Andrew Goldenkranz; Patrice Seyed; Naveen Sharma (K-CAP, 2011)

The use of virtual fiducials in image-guided kidney surgery. - Courtenay L. Glisson; Rowena E. Ong; Amber L. Simpson; Peter Clark; S. Duke Herrell; Robert L. Galloway (Medical Imaging: Image-Guided Procedures, 2011)

The Seventh PASCAL Recognizing Textual Entailment Challenge. - Luisa Bentivogli; Peter Clark; Ido Dagan; Danilo Giampiccolo (TAC, 2011)

Recognizing Textual Entailment, QA4MRE, and Machine Reading. - Peter Clark (CLEF (Online Working Notes/Labs/Workshop), 2012)

An Entailment-Based Approach to the QA4MRE Challenge. - Peter Clark; Philip Harrison; Xuchen Yao (CLEF (Online Working Notes/Labs/Workshop), 2012)

Constructing a Textual KB from a Biology TextBook. - Peter Clark; Philip Harrison; Niranjan Balasubramanian; Oren Etzioni (AKBC-WEKEX@NAACL-HLT, 2012)

From Textual Entailment to Knowledgeable Machines. - Peter Clark (JSSP, 2013)

Automatic Coupling of Answer Extraction and Information Retrieval. - Xuchen Yao; Benjamin Van Durme; Peter Clark (ACL (2), 2013)

A Lightweight and High Performance Monolingual Word Aligner. - Xuchen Yao; Benjamin Van Durme; Chris Callison-Burch; Peter Clark (ACL (2), 2013)

A study of the knowledge base requirements for passing an elementary science test. - Peter Clark; Philip Harrison; Niranjan Balasubramanian (AKBC@CIKM, 2013)

Extracting meronyms for a biology knowledge base using distant supervision. - Xiao Ling; Peter Clark; Daniel S. Weld (AKBC@CIKM, 2013)

Learning Biological Processes with Global Constraints. - Aju Thalappillil Scaria; Jonathan Berant; Mengqiu Wang; Peter Clark; Justin Lewis; Brittany Harding; Christopher D. Manning (EMNLP, 2013)

Semi-Markov Phrase-Based Monolingual Alignment. - Xuchen Yao; Benjamin Van Durme; Chris Callison-Burch; Peter Clark (EMNLP, 2013)

Terra Populus-Integrated Data for Population and Environmental Research. - Peter Clark; Alex Jokela (IASSIST Conference, 2013)

Answer Extraction as Sequence Tagging with Tree Edit Distance. - Xuchen Yao; Benjamin Van Durme; Chris Callison-Burch; Peter Clark (HLT-NAACL, 2013)

SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge. - Myroslava O. Dzikovska; Rodney D. Nielsen; Chris Brew; Claudia Leacock; Danilo Giampiccolo; Luisa Bentivogli; Peter Clark; Ido Dagan; Hoa Trang Dang (SemEval@NAACL-HLT, 2013)

Inquire Biology: A Textbook that Answers Questions. - Vinay K. Chaudhri; Britte Cheng; Adam Overholtzer; Jeremy Roschelle; Aaron Spaulding; Peter Clark; Mark Greaves; Dave Gunning (AI Mag., 2013)

Discourse Complements Lexical Semantics for Non-factoid Answer Reranking. - Peter Jansen 001; Mihai Surdeanu; Peter Clark (ACL (1), 2014)

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 (EMNLP, 2014)

Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge! - Peter Clark (AAAI, 2015)

Exploring Markov Logic Networks for Question Answering. - Tushar Khot; Niranjan Balasubramanian; Eric Gribkoff; Ashish Sabharwal; Peter Clark; Oren Etzioni (EMNLP, 2015)

Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge. - Yang Li 150; Peter Clark (EMNLP, 2015)

Learning Knowledge Graphs for Question Answering through Conversational Dialog. - Ben Hixon; Peter Clark; Hannaneh Hajishirzi (HLT-NAACL, 2015)

Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering. - Rebecca Sharp; Peter Jansen 001; Mihai Surdeanu; Peter Clark (HLT-NAACL, 2015)

Markov Logic Networks for Natural Language Question Answering. - Tushar Khot; Niranjan Balasubramanian; Eric Gribkoff; Ashish Sabharwal; Peter Clark; Oren Etzioni (CoRR, 2015)

Higher-order Lexical Semantic Models for Non-factoid Answer Reranking. - Daniel Fried; Peter Jansen 001; Gustave Hahn-Powell; Mihai Surdeanu; Peter Clark (Trans. Assoc. Comput. Linguistics, 2015)

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 (AAAI, 2016)

IKE - An Interactive Tool for Knowledge Extraction. - Bhavana Dalvi; Sumithra Bhakthavatsalam; Chris Clark; Peter Clark; Oren Etzioni; Anthony Fader; Dirk Groeneveld (AKBC@NAACL-HLT, 2016)

What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams. - Peter Jansen 001; Niranjan Balasubramanian; Mihai Surdeanu; Peter Clark (COLING, 2016)

Cross Sentence Inference for Process Knowledge. - Samuel Louvan; Chetan Naik; Sadhana Kumaravel; Heeyoung Kwon; Niranjan Balasubramanian; Peter Clark (EMNLP, 2016)

Creating Causal Embeddings for Question Answering with Minimal Supervision. - Rebecca Sharp; Mihai Surdeanu; Peter Jansen 001; Peter Clark; Michael Hammond (EMNLP, 2016)

Question Answering via Integer Programming over Semi-Structured Knowledge. - Daniel Khashabi; Tushar Khot; Ashish Sabharwal; Peter Clark; Oren Etzioni; Dan Roth (IJCAI, 2016)

My Computer Is an Honor Student - but How Intelligent Is It? Standardized Tests as a Measure of AI. - Peter Clark; Oren Etzioni (AI Mag., 2016)

Answering Complex Questions Using Open Information Extraction. - Tushar Khot; Ashish Sabharwal; Peter Clark (ACL (2), 2017)

Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification. - Rebecca Sharp; Mihai Surdeanu; Peter Jansen 001; Marco Antonio Valenzuela-Escárcega; Peter Clark; Michael Hammond (CoNLL, 2017)

Machine Reading as Model Construction. - Peter Clark (K-CAP Workshops, 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)

Framing QA as Building and Ranking Intersentence Answer Justifications. - Peter Jansen 001; Rebecca Sharp; Mihai Surdeanu; Peter Clark (Comput. Linguistics, 2017)

Domain-Targeted, High Precision Knowledge Extraction. - Bhavana Dalvi Mishra; Niket Tandon; Peter Clark (Trans. Assoc. Comput. Linguistics, 2017)

SciTaiL: A Textual Entailment Dataset from Science Question Answering. - Tushar Khot; Ashish Sabharwal; Peter Clark (AAAI, 2018)

Bridging Knowledge Gaps in Neural Entailment via Symbolic Models. - Dongyeop Kang; Tushar Khot; Ashish Sabharwal; Peter Clark (EMNLP, 2018)

Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. - Todor Mihaylov; Peter Clark; Tushar Khot; Ashish Sabharwal (EMNLP, 2018)

Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. - Niket Tandon; Bhavana Dalvi; Joel Grus; Wen-tau Yih; Antoine Bosselut; Peter Clark (EMNLP, 2018)

Knowledge Representation and Reasoning in Answering Science Questions: A Case Study for Food Web Questions. - Arindam Mitra; Chitta Baral; Peter Clark (KR, 2018)

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 (NAACL-HLT, 2018)

Story Generation and Aviation Incident Representation. - Peter Clark (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)

What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text. - Peter Clark; Bhavana Dalvi; Niket Tandon (CoRR, 2018)

What Knowledge is Needed to Solve the RTE5 Textual Entailment Challenge? - Peter Clark (CoRR, 2018)

Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming. - Arindam Mitra; Peter Clark; Oyvind Tafjord; Chitta Baral (AAAI, 2019)

QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. - Oyvind Tafjord; Peter Clark; Matt Gardner 001; Wen-tau Yih; Ashish Sabharwal (AAAI, 2019)

Reasoning Over Paragraph Effects in Situations. - Kevin Lin; Oyvind Tafjord; Peter Clark; Matt Gardner 001 (MRQA@EMNLP, 2019)

Exploiting Explicit Paths for Multi-hop Reading Comprehension. - Souvik Kundu 003; Tushar Khot; Ashish Sabharwal; Peter Clark (ACL (1), 2019)

Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. - Bhavana Dalvi; Niket Tandon; Antoine Bosselut; Wen-tau Yih; Peter Clark (EMNLP/IJCNLP (1), 2019)

What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering. - Tushar Khot; Ashish Sabharwal; Peter Clark (EMNLP/IJCNLP (1), 2019)

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. - Oyvind Tafjord; Matt Gardner 001; Kevin Lin; Peter Clark (EMNLP/IJCNLP (1), 2019)

WIQA: A dataset for "What if..." reasoning over procedural text. - Niket Tandon; Bhavana Dalvi; Keisuke Sakaguchi; Peter Clark; Antoine Bosselut (EMNLP/IJCNLP (1), 2019)

Project Aristo: Towards Machines that Capture and Reason with Science Knowledge. - Peter Clark (K-CAP, 2019)

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 (NAACL-HLT (1), 2019)

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. - Guy Barash; Mauricio Castillo-Effen; Niyati Chhaya; Peter Clark; Huáscar Espinoza; Eitan Farchi; Christopher W. Geib; Odd Erik Gundersen; Seán Ó hÉigeartaigh; José Hernández-Orallo; Chiori Hori; Xiaowei Huang 001; et al. (AI Mag., 2019)

QASC: A Dataset for Question Answering via Sentence Composition. - Tushar Khot; Peter Clark; Michal Guerquin; Peter Jansen 001; Ashish Sabharwal (AAAI, 2020)

Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering. - Harsh Jhamtani; Peter Clark (EMNLP (1), 2020)

UnifiedQA: Crossing Format Boundaries With a Single QA System. - Daniel Khashabi; Sewon Min; Tushar Khot; Ashish Sabharwal; Oyvind Tafjord; Peter Clark; Hannaneh Hajishirzi (EMNLP (Findings), 2020)

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 (EMNLP (Findings), 2020)

A Dataset for Tracking Entities in Open Domain Procedural Text. - Niket Tandon; Keisuke Sakaguchi; Bhavana Dalvi; Dheeraj Rajagopal; Peter Clark; Michal Guerquin; Kyle Richardson 001; Eduard H. Hovy (EMNLP (1), 2020)

Transformers as Soft Reasoners over Language. - Peter Clark; Oyvind Tafjord; Kyle Richardson 001 (IJCAI, 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 (LREC, 2020)

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge. - Alon Talmor; Oyvind Tafjord; Peter Clark; Yoav Goldberg; Jonathan Berant (NeurIPS, 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 001; Ashish Sabharwal; Carissa Schoenick; Oyvind Tafjord; Niket Tandon; Sumithra Bhakthavatsalam; Dirk Groeneveld; et al. (AI Mag., 2020)

GenericsKB: A Knowledge Base of Generic Statements. - Sumithra Bhakthavatsalam; Chloe Anastasiades; Peter Clark (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)

Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge. - Alon Talmor; Oyvind Tafjord; Peter Clark; Yoav Goldberg; Jonathan Berant (CoRR, 2020)

Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations. - Sumithra Bhakthavatsalam; Kyle Richardson 001; Niket Tandon; Peter Clark (CoRR, 2020)

ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language. - Oyvind Tafjord; Bhavana Dalvi; Peter Clark (ACL/IJCNLP (Findings), 2021)

Explaining Answers with Entailment Trees. - Bhavana Dalvi; Peter Jansen 001; Oyvind Tafjord; Zhengnan Xie; Hannah Smith; Leighanna Pipatanangkura; Peter Clark (EMNLP (1), 2021)

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 (EMNLP (1), 2021)

BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. - Nora Kassner; Oyvind Tafjord; Hinrich Schütze; Peter Clark (EMNLP (1), 2021)

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 (EMNLP (1), 2021)

proScript: Partially Ordered Scripts Generation. - Keisuke Sakaguchi; Chandra Bhagavatula; Ronan Le Bras 001; Niket Tandon; Peter Clark; Yejin Choi 001 (EMNLP (Findings), 2021)

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. - Tushar Khot; Daniel Khashabi; Kyle Richardson 001; Peter Clark; Ashish Sabharwal (NAACL-HLT, 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 001; Ashish Sabharwal; Carissa Schoenick; Oyvind Tafjord; Peter Clark (CoRR, 2021)

CURIE: An Iterative Querying Approach for Reasoning About Situations. - Dheeraj Rajagopal; Aman Madaan; Niket Tandon; Yiming Yang; Shrimai Prabhumoye; Abhilasha Ravichander; Peter Clark; Eduard H. Hovy (CoRR, 2021)

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models. - Keisuke Sakaguchi; Chandra Bhagavatula; Ronan Le Bras 001; Niket Tandon; Peter Clark; Yejin Choi 001 (CoRR, 2021)

Enriching a Model's Notion of Belief using a Persistent Memory. - Nora Kassner; Oyvind Tafjord; Hinrich Schütze; Peter Clark (CoRR, 2021)

Improving Neural Model Performance through Natural Language Feedback on Their Explanations. - Aman Madaan; Niket Tandon; Dheeraj Rajagopal; Yiming Yang; Peter Clark; Keisuke Sakaguchi; Eduard H. Hovy (CoRR, 2021)

General-Purpose Question-Answering with Macaw. - Oyvind Tafjord; Peter Clark (CoRR, 2021)

Interscript: A dataset for interactive learning of scripts through error feedback. - Niket Tandon; Aman Madaan; Peter Clark; Keisuke Sakaguchi; Yiming Yang (CoRR, 2021)

DREAM: Uncovering Mental Models behind Language Models. - Yuling Gu; Bhavana Dalvi Mishra; Peter Clark (CoRR, 2021)

Improving scripts with a memory of natural feedback. - Niket Tandon; Aman Madaan; Peter Clark; Yiming Yang (CoRR, 2021)

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 (ACL (1), 2022)

What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. - Matthew Finlayson; Kyle Richardson 001; Ashish Sabharwal; Peter Clark (EMNLP, 2022)

Memory-assisted prompt editing to improve GPT-3 after deployment. - Aman Madaan; Niket Tandon; Peter Clark; Yiming Yang (EMNLP, 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 (EMNLP, 2022)

Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement. - Bhavana Dalvi Mishra; Oyvind Tafjord; Peter Clark (EMNLP, 2022)

Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning. - Oyvind Tafjord; Bhavana Dalvi Mishra; Peter Clark (EMNLP, 2022)

DREAM: Improving Situational QA by First Elaborating the Situation. - Yuling Gu; Bhavana Dalvi; Peter Clark (NAACL-HLT, 2022)

Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback. - Niket Tandon; Aman Madaan; Peter Clark; Yiming Yang (NAACL-HLT (Findings), 2022)

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. - Pan Lu; Swaroop Mishra; Tanglin Xia; Liang Qiu 001; Kai-Wei Chang; Song-Chun Zhu; Oyvind Tafjord; Peter Clark; Ashwin Kalyan (NeurIPS, 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; Tony Xia; Liang Qiu 001; Kai-Wei Chang; Song-Chun Zhu; Oyvind Tafjord; Peter Clark; Ashwin Kalyan (CoRR, 2022)

Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE. - Yuling Gu; Yao Fu; Valentina Pyatkin; Ian Magnusson; Bhavana Dalvi Mishra; Peter Clark (CoRR, 2022)

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. - Afra Feyza Akyürek; Ekin Akyürek; Ashwin Kalyan; Peter Clark; Derry Tanti Wijaya; Niket Tandon (ACL (1), 2023)

Do language models have coherent mental models of everyday things? - Yuling Gu; Bhavana Dalvi Mishra; Peter Clark (ACL (1), 2023)

IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. - Wenhao Yu 002; Meng Jiang 001; Peter Clark; Ashish Sabharwal (EMNLP, 2023)

Language Models with Rationality. - Nora Kassner; Oyvind Tafjord; Ashish Sabharwal; Kyle Richardson 001; Hinrich Schütze; Peter Clark (EMNLP, 2023)

Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. - Zhenwen Liang; Wenhao Yu 002; Tanmay Rajpurohit; Peter Clark; Xiangliang Zhang 001; Ashwin Kalyan (EMNLP, 2023)

Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy. - Sarah Wiegreffe; Matthew Finlayson; Oyvind Tafjord; Peter Clark; Ashish Sabharwal (EMNLP, 2023)

Complexity-Based Prompting for Multi-step Reasoning. - Yao Fu; Hao Peng 018; Ashish Sabharwal; Peter Clark; Tushar Khot (ICLR, 2023)

Decomposed Prompting: A Modular Approach for Solving Complex Tasks. - Tushar Khot; Harsh Trivedi; Matthew Finlayson; Yao Fu; Kyle Richardson 001; Peter Clark; Ashish Sabharwal (ICLR, 2023)

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. - Pan Lu; Liang Qiu 001; Kai-Wei Chang; Ying Nian Wu; Song-Chun Zhu; Tanmay Rajpurohit; Peter Clark; Ashwin Kalyan (ICLR, 2023)

Self-Refine: Iterative Refinement with Self-Feedback. - Aman Madaan; Niket Tandon; Prakhar Gupta; Skyler Hallinan; Luyu Gao; Sarah Wiegreffe; Uri Alon 002; Nouha Dziri; Shrimai Prabhumoye; Yiming Yang; Shashank Gupta; Bodhisattwa Prasad Majumder; et al. (NeurIPS, 2023)

Self-Refine: Iterative Refinement with Self-Feedback. - Aman Madaan; Niket Tandon; Prakhar Gupta; Skyler Hallinan; Luyu Gao; Sarah Wiegreffe; Uri Alon 002; Nouha Dziri; Shrimai Prabhumoye; Yiming Yang; Sean Welleck; Bodhisattwa Prasad Majumder; et al. (CoRR, 2023)

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. - Afra Feyza Akyürek; Ekin Akyürek; Aman Madaan; Ashwin Kalyan; Peter Clark; Derry Wijaya; Niket Tandon (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)

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 039; Chris Callison-Burch; Peter Clark (CoRR, 2023)

QualEval: Qualitative Evaluation for Model Improvement. - Vishvak Murahari; Ameet Deshpande; Peter Clark; Tanmay Rajpurohit; Ashish Sabharwal; Karthik Narasimhan; Ashwin Kalyan (CoRR, 2023)

Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. - Shashank Gupta; Vaishnavi Shrivastava; Ameet Deshpande; Ashwin Kalyan; Peter Clark; Ashish Sabharwal; Tushar Khot (CoRR, 2023)

ADaPT: As-Needed Decomposition and Planning with Language Models. - Archiki Prasad; Alexander Koller; Mareike Hartmann; Peter Clark; Ashish Sabharwal; Mohit Bansal; Tushar Khot (CoRR, 2023)

One Size Does Not Fit All: Customizing Open-Domain Procedures. - Yash Kumar Lal; Li Zhang 039; Faeze Brahman; Bodhisattwa Prasad Majumder; Peter Clark; Niket Tandon (CoRR, 2023)

Leveraging Code to Improve In-context Learning for Semantic Parsing. - Ben Bogin; Shivanshu Gupta; Peter Clark; Ashish Sabharwal (CoRR, 2023)

Digital Socrates: Evaluating LLMs through explanation critiques. - Yuling Gu; Oyvind Tafjord; Peter Clark (CoRR, 2023)

BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability. - Peter Clark; Bhavana Dalvi Mishra; Oyvind Tafjord (CoRR, 2023)

The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. - Peter Hase; Mohit Bansal; Peter Clark; Sarah Wiegreffe (CoRR, 2024)

Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills. - Kolby Nottingham; Bodhisattwa Prasad Majumder; Bhavana Dalvi Mishra; Sameer Singh 001; Peter Clark; Roy Fox (CoRR, 2024)

Data-driven Discovery with Large Generative Models. - Bodhisattwa Prasad Majumder; Harshit Surana; Dhruv Agarwal 003; Sanchaita Hazra; Ashish Sabharwal; Peter Clark (CoRR, 2024)

Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. - Nathaniel Weir; Kate Sanders 002; Orion Weller; Shreya Sharma 010; Dongwei Jiang; Zhengping Jiang; Bhavana Dalvi Mishra; Oyvind Tafjord; Peter A. Jansen; Peter Clark; Benjamin Van Durme (CoRR, 2024)

PROC2PDDL: Open-Domain Planning Representations from Texts. - Tianyi Zhang; Li Zhang 039; Zhaoyi Hou; Ziyu Wang; Yuling Gu; Peter Clark; Chris Callison-Burch; Niket Tandon (CoRR, 2024)

Learning to Reason via Program Generation, Emulation, and Search. - Nathaniel Weir; Muhammad Khalifa; Linlu Qiu; Orion Weller; Peter Clark (CoRR, 2024)

PDDLEGO: Iterative Planning in Textual Environments. - Li Zhang 039; Peter Jansen 001; Tianyi Zhang; Peter Clark; Chris Callison-Burch; Niket Tandon (CoRR, 2024)

Can Language Models Serve as Text-Based World Simulators? - Ruoyao Wang; Graham Todd; Ziang Xiao; Xingdi Yuan; Marc-Alexandre Côté; Peter Clark; Peter A. Jansen (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)