 CogLM: Tracking Cognitive Development of Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 |
 TutoAI: A Cross-domain Framework for AI-assisted Mixed-media Tutorial
Creation on Physical TasksInternational Conference on Human Factors in Computing Systems (CHI), 2024 |
 Drilling Down into the Discourse Structure with LLMs for Long Document
Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Language Model Behavior: A Comprehensive SurveyInternational Conference on Computational Logic (ICCL), 2023 |
 Harnessing Knowledge and Reasoning for Human-Like Natural Language
Generation: A Brief ReviewIEEE Data Engineering Bulletin (DEB), 2022 |
 Large Language Models Are Human-Level Prompt EngineersInternational Conference on Learning Representations (ICLR), 2022 |
 Measuring and Narrowing the Compositionality Gap in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Using cognitive psychology to understand GPT-3Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2022 |
 Flexible Generation of Natural Language DeductionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Natural-Language Multi-Agent Simulations of Argumentative Opinion
DynamicsJournal of Artificial Societies and Social Simulation (JASSS), 2021 |
