Peter Clark

Generating Literature-Driven Scientific Theories at Scale ACL 2026 CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation ACL 2025 DiscoveryBench: Towards Data-Driven Discovery with Large Language Models ICLR 2025 From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering ICLR 2025 HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance EMNLP 2025 Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision NAACL 2025 ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning ICML 2025 ADaPT: As-Needed Decomposition and Planning with Language Models NAACL 2024 Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs ICLR 2024 Can Language Models Serve as Text-Based World Simulators? ACL 2024 Digital Socrates: Evaluating LLMs through Explanation Critiques ACL 2024 DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents NeurIPS 2024 Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic EMNLP 2024 Learning to Reason via Program Generation, Emulation, and Search NeurIPS 2024 Leveraging Code to Improve In-Context Learning for Semantic Parsing NAACL 2024 NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning IJCAI 2024 PDDLEGO: Iterative Planning in Textual Environments NAACL 2024 Position: Data-driven Discovery with Large Generative Models ICML 2024 PROC2PDDL: Open-Domain Planning Representations from Texts ACL 2024 QualEval: Qualitative Evaluation for Model Improvement NAACL 2024 Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills ICML 2024 SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories EMNLP 2024 Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization ACL 2024 The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ACL 2024 Complexity-Based Prompting for Multi-step Reasoning ICLR 2023 Decomposed Prompting: A Modular Approach for Solving Complex Tasks ICLR 2023 Do language models have coherent mental models of everyday things? ACL 2023 Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning ICLR 2023 IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions EMNLP 2023 Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy EMNLP 2023 Language Models with Rationality EMNLP 2023 Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation EMNLP 2023 RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs ACL 2023 Self-Refine: Iterative Refinement with Self-Feedback NeurIPS 2023 CURIE: An Iterative Querying Approach for Reasoning About Situations ACL 2022 DREAM: Improving Situational QA by First Elaborating the Situation NAACL 2022 Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning EMNLP 2022 Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE EMNLP 2022 Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback NAACL 2022 Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering NeurIPS 2022 LILA: A Unified Benchmark for Mathematical Reasoning EMNLP 2022 Memory-assisted prompt editing to improve GPT-3 after deployment EMNLP 2022 NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks ACL 2022 Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement EMNLP 2022 What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment EMNLP 2022 BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief EMNLP 2021 Explaining Answers with Entailment Trees EMNLP 2021 How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI EMNLP 2021 ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language ACL 2021 proScript: Partially Ordered Scripts Generation EMNLP 2021 Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models NAACL 2021 Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP 2021 A Dataset for Tracking Entities in Open Domain Procedural Text EMNLP 2020 Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge NeurIPS 2020 Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering EMNLP 2020 QASC: A Dataset for Question Answering via Sentence Composition AAAI 2020 Transformers as Soft Reasoners over Language IJCAI 2020 UNIFIEDQA: Crossing Format Boundaries with a Single QA System EMNLP 2020 What-if I ask you to explain: Explaining the effects of perturbations in procedural text EMNLP 2020 Be Consistent! Improving Procedural Text Comprehension using Label Consistency NAACL 2019 Commonsense Inference in Natural Language Processing (COIN) - Shared Task Report EMNLP 2019 Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming AAAI 2019 Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text EMNLP 2019 Exploiting Explicit Paths for Multi-hop Reading Comprehension ACL 2019 Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing EMNLP 2019 QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships AAAI 2019 QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions EMNLP 2019 Reasoning Over Paragraph Effects in Situations EMNLP 2019 What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering EMNLP 2019 WIQA: A dataset for “What if...” reasoning over procedural text EMNLP 2019 Bridging Knowledge Gaps in Neural Entailment via Symbolic Models EMNLP 2018 Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering EMNLP 2018 Reasoning about Actions and State Changes by Injecting Commonsense Knowledge EMNLP 2018 Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension NAACL 2018 Answering Complex Questions Using Open Information Extraction ACL 2017 Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification CoNLL 2017 Creating Causal Embeddings for Question Answering with Minimal Supervision EMNLP 2016 Cross Sentence Inference for Process Knowledge EMNLP 2016 Question Answering via Integer Programming over Semi-Structured Knowledge IJCAI 2016 What’s in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams COLING 2016 Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge EMNLP 2015 Exploring Markov Logic Networks for Question Answering EMNLP 2015 Learning Knowledge Graphs for Question Answering through Conversational Dialog NAACL 2015 Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering NAACL 2015 Discourse Complements Lexical Semantics for Non-factoid Answer Reranking ACL 2014 Modeling Biological Processes for Reading Comprehension EMNLP 2014 A Lightweight and High Performance Monolingual Word Aligner ACL 2013 Answer Extraction as Sequence Tagging with Tree Edit Distance NAACL 2013 Automatic Coupling of Answer Extraction and Information Retrieval ACL 2013 Learning Biological Processes with Global Constraints EMNLP 2013 SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge SemEval 2013 Semi-Markov Phrase-Based Monolingual Alignment EMNLP 2013 Exploiting Paraphrases and Deferred Sense Commitment to Interpret Questions more Reliably COLING 2010 NAACL HLT 2010 Tutorial Abstracts NAACL 2010