Peter Clark

98 papers · 2010–2025 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (15) 🗺️ Taxonomy Completionist (83) 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12) 🏠 Conference Loyalist (39) 🌟 Keyword Trendsetter Combo (6) 🏆 Grand Slam 👑 Triple Crown 🏆 Keyword Champion (3) 🤝 Dynamic Duo (28) 🌱 Topic Pioneer 🔬 Deep Specialist (28) 🧬 Topic Evolution ⚡ Prolific Year (10) 🚀 Conference Pioneer 🗃️ Keyword Collector (287) ❓ The Questioner (6) 💎 Century Club (98) 🔥 Unstoppable (13) 📈 Trend Setter

Conferences

EMNLP (39) ACL (16) NAACL (14) ICLR (6) IJCNLP (5) NIPS (5) AAAI (3) ICML (3) IJCAI (3) COLING (2) CONLL (1) SEMEVAL (1)

Top co-authors

Ashish Sabharwal (28) Oyvind Tafjord (23) Tushar Khot (19) Niket Tandon (19) Bhavana Dalvi (13) Peter Jansen (13) Bhavana Dalvi Mishra (12) Ashwin Kalyan (9) Kyle Richardson (8) Bodhisattwa Prasad Majumder (8)

Keywords

question answering (25) language model (12) large language model (11) procedural text (10) natural language inference (8) commonsense reasoning (6) text generation (5) natural language understanding (5) benchmark dataset (4) pre-trained language model (4) knowledge base (4) neural network (4) knowledge retrieval (4) agent system (4) semantic analysis (3) multi-task learning (3) code generation (3) textual entailment (3) causal reasoning (3) knowledge distillation (3)

Papers

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning ICML 2025

Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision NAACL 2025

HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance EMNLP 2025

From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering ICLR 2025

DiscoveryBench: Towards Data-Driven Discovery with Large Language Models ICLR 2025

CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation ACL 2025

ADaPT: As-Needed Decomposition and Planning with Language Models NAACL 2024

Leveraging Code to Improve In-Context Learning for Semantic Parsing NAACL 2024

PDDLEGO: Iterative Planning in Textual Environments NAACL 2024

Learning to Reason via Program Generation, Emulation, and Search NIPS 2024

DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents NIPS 2024

Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic EMNLP 2024

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories EMNLP 2024

Digital Socrates: Evaluating LLMs through Explanation Critiques ACL 2024

The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ACL 2024

Can Language Models Serve as Text-Based World Simulators? ACL 2024

Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization ACL 2024

PROC2PDDL: Open-Domain Planning Representations from Texts ACL 2024

QualEval: Qualitative Evaluation for Model Improvement NAACL 2024

Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs ICLR 2024

Position: Data-driven Discovery with Large Generative Models ICML 2024

NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning IJCAI 2024

Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills ICML 2024

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

Decomposed Prompting: A Modular Approach for Solving Complex Tasks ICLR 2023

Complexity-Based Prompting for Multi-step Reasoning ICLR 2023

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning ICLR 2023

Do language models have coherent mental models of everyday things? ACL 2023

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs ACL 2023

Self-Refine: Iterative Refinement with Self-Feedback NIPS 2023

Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback NAACL 2022

CURIE: An Iterative Querying Approach for Reasoning About Situations ACL 2022

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks ACL 2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering NIPS 2022

LILA: A Unified Benchmark for Mathematical Reasoning EMNLP 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

Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE EMNLP 2022

Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning EMNLP 2022

Memory-assisted prompt editing to improve GPT-3 after deployment EMNLP 2022

DREAM: Improving Situational QA by First Elaborating the Situation NAACL 2022

BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief EMNLP 2021

ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language IJCNLP 2021

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models NAACL 2021

ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language ACL 2021

Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP 2021

How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI EMNLP 2021

Explaining Answers with Entailment Trees EMNLP 2021

proScript: Partially Ordered Scripts Generation EMNLP 2021

Transformers as Soft Reasoners over Language IJCAI 2020

QASC: A Dataset for Question Answering via Sentence Composition AAAI 2020

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge NIPS 2020

Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering EMNLP 2020

A Dataset for Tracking Entities in Open Domain Procedural Text EMNLP 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

Exploiting Explicit Paths for Multi-hop Reading Comprehension ACL 2019

Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming AAAI 2019

QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships AAAI 2019

What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering EMNLP 2019

Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text EMNLP 2019

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions EMNLP 2019

WIQA: A dataset for “What if...” reasoning over procedural text EMNLP 2019

Reasoning Over Paragraph Effects in Situations EMNLP 2019

Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing EMNLP 2019

Commonsense Inference in Natural Language Processing (COIN) - Shared Task Report EMNLP 2019

What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering IJCNLP 2019

Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text IJCNLP 2019

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions IJCNLP 2019

WIQA: A dataset for “What if...” reasoning over procedural text IJCNLP 2019

Be Consistent! Improving Procedural Text Comprehension using Label Consistency NAACL 2019

Reasoning about Actions and State Changes by Injecting Commonsense Knowledge EMNLP 2018

Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering EMNLP 2018

Bridging Knowledge Gaps in Neural Entailment via Symbolic Models EMNLP 2018

Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension NAACL 2018

Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification CONLL 2017

Answering Complex Questions Using Open Information Extraction ACL 2017

What’s in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams COLING 2016

Question Answering via Integer Programming over Semi-Structured Knowledge IJCAI 2016

Creating Causal Embeddings for Question Answering with Minimal Supervision EMNLP 2016

Cross Sentence Inference for Process Knowledge EMNLP 2016

Learning Knowledge Graphs for Question Answering through Conversational Dialog NAACL 2015

Exploring Markov Logic Networks for Question Answering EMNLP 2015

Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering NAACL 2015

Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge EMNLP 2015

Discourse Complements Lexical Semantics for Non-factoid Answer Reranking ACL 2014

Modeling Biological Processes for Reading Comprehension EMNLP 2014

Answer Extraction as Sequence Tagging with Tree Edit Distance NAACL 2013

SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge SEMEVAL 2013

Automatic Coupling of Answer Extraction and Information Retrieval ACL 2013

A Lightweight and High Performance Monolingual Word Aligner ACL 2013

Learning Biological Processes with Global Constraints EMNLP 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