Peter Clark
99 papers · 2010–2026 · 12 conferences · across top CS/AI conferences
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Conferences
EMNLP (39)
ACL (17)
NAACL (14)
ICLR (6)
IJCNLP (5)
NIPS (5)
AAAI (3)
ICML (3)
IJCAI (3)
COLING (2)
CONLL (1)
SEMEVAL (1)
Top co-authors
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
Generating Literature-Driven Scientific Theories at Scale
ACL 2026
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models
ICLR 2025
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance
EMNLP 2025
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
ICML 2025
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
ACL 2025
Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision
NAACL 2025
From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering
ICLR 2025
QualEval: Qualitative Evaluation for Model Improvement
NAACL 2024
DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
NIPS 2024
Learning to Reason via Program Generation, Emulation, and Search
NIPS 2024
PDDLEGO: Iterative Planning in Textual Environments
NAACL 2024
ADaPT: As-Needed Decomposition and Planning with Language Models
NAACL 2024
Leveraging Code to Improve In-Context Learning for Semantic Parsing
NAACL 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
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
Position: Data-driven Discovery with Large Generative Models
ICML 2024
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
ICLR 2024
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories
EMNLP 2024
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic
EMNLP 2024
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions
EMNLP 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
Complexity-Based Prompting for Multi-step Reasoning
ICLR 2023
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
ICLR 2023
Self-Refine: Iterative Refinement with Self-Feedback
NIPS 2023
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
EMNLP 2023
Language Models with Rationality
EMNLP 2023
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy
EMNLP 2023
Memory-assisted prompt editing to improve GPT-3 after deployment
EMNLP 2022
DREAM: Improving Situational QA by First Elaborating the Situation
NAACL 2022
Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback
NAACL 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
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement
EMNLP 2022
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
NIPS 2022
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
ACL 2022
CURIE: An Iterative Querying Approach for Reasoning About Situations
ACL 2022
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment
EMNLP 2022
LILA: A Unified Benchmark for Mathematical Reasoning
EMNLP 2022
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
Think about it! Improving defeasible reasoning by first modeling the question scenario.
EMNLP 2021
Explaining Answers with Entailment Trees
EMNLP 2021
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
EMNLP 2021
proScript: Partially Ordered Scripts Generation
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
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
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
What-if I ask you to explain: Explaining the effects of perturbations in procedural text
EMNLP 2020
Transformers as Soft Reasoners over Language
IJCAI 2020
Whatβs Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering
EMNLP 2019
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships
AAAI 2019
Commonsense Inference in Natural Language Processing (COIN) - Shared Task Report
EMNLP 2019
Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing
EMNLP 2019
Reasoning Over Paragraph Effects in Situations
EMNLP 2019
WIQA: A dataset for βWhat if...β reasoning over procedural text
EMNLP 2019
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions
EMNLP 2019
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text
EMNLP 2019
Whatβs 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 βWhat if...β reasoning over procedural text
IJCNLP 2019
Be Consistent! Improving Procedural Text Comprehension using Label Consistency
NAACL 2019
Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming
AAAI 2019
Exploiting Explicit Paths for Multi-hop Reading Comprehension
ACL 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
Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension
NAACL 2018
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models
EMNLP 2018
Answering Complex Questions Using Open Information Extraction
ACL 2017
Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification
CONLL 2017
Whatβs in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams
COLING 2016
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
Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering
NAACL 2015
Learning Knowledge Graphs for Question Answering through Conversational Dialog
NAACL 2015
Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge
EMNLP 2015
Exploring Markov Logic Networks for Question Answering
EMNLP 2015
Modeling Biological Processes for Reading Comprehension
EMNLP 2014
Discourse Complements Lexical Semantics for Non-factoid Answer Reranking
ACL 2014
Answer Extraction as Sequence Tagging with Tree Edit Distance
NAACL 2013
Automatic Coupling of Answer Extraction and Information Retrieval
ACL 2013
A Lightweight and High Performance Monolingual Word Aligner
ACL 2013
Semi-Markov Phrase-Based Monolingual Alignment
EMNLP 2013
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge
SEMEVAL 2013
Learning Biological Processes with Global Constraints
EMNLP 2013
Exploiting Paraphrases and Deferred Sense Commitment to Interpret Questions more Reliably
COLING 2010
NAACL HLT 2010 Tutorial Abstracts
NAACL 2010