Chris Brockett

Microsoft (United States) — United States

Computer Science · Physical Sciences

40h-index11.1kcitations109works3.32yr avg
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Research Topics

Topic Modeling(85), Natural Language Processing Techniques(80), Speech and dialogue systems(36), Multimodal Machine Learning Applications(23), Text Readability and Simplification(10)

Publications109 total

Echoes in AI: Quantifying lack of plot diversity in LLM outputs
Proceedings of the National Academy of Sciences·2025· 4 citedOpen Access
Echoes in AI: Quantifying lack of plot diversity in LLM outputs
arXiv (Cornell University)·2024Open Access
MCPDial: A Minecraft Persona-driven Dialogue Dataset
arXiv (Cornell University)·2024Open Access
Player-Driven Emergence in LLM-Driven Game Narrative
2024· 14 cited
GENEVA: GENErating and Visualizing branching narratives using LLMs
2024· 5 cited
Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft
arXiv (Cornell University)·2024Open Access
Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs
arXiv (Cornell University)·2024Open Access
Player-Driven Emergence in LLM-Driven Game Narrative
arXiv (Cornell University)·2024Open Access
Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs
2024· 3 citedOpen Access
Investigating Agency of LLMs in Human-AI Collaboration Tasks
2024· 7 citedOpen Access
GENEVA: GENErating and Visualizing branching narratives using LLMs
arXiv (Cornell University)·2023· 1 citedOpen Access
Investigating Agency of LLMs in Human-AI Collaboration Tasks
arXiv (Cornell University)·2023· 4 citedOpen Access
RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling
Proceedings of the AAAI Conference on Artificial Intelligence·2022· 21 citedOpen Access
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog
arXiv (Cornell University)·2022· 33 citedOpen Access
Craft an Iron Sword: Dynamically Generating Interactive Game Characters by Prompting Large Language Models Tuned on Code
2022· 27 citedOpen Access
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)·2022· 55 citedOpen Access
IMPROVING RESPONSE GENERATION CONSISTENCY VIA CONTRASTIVE LEARNING
Annual Meeting of the Special Interest Group on Discourse and Dialogue·2021· 1 cited
Automatic Document Sketching: Generating Drafts from Analogous Texts
arXiv (Cornell University)·2021Open Access
A Controllable Model of Grounded Response Generation
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 70 citedOpen Access
Joint Retrieval and Generation Training for Grounded Text Generation.
arXiv (Cornell University)·2021· 10 citedOpen Access
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Frequent Co-authors

Bill Dolan(33), Michel Galley(27), Jianfeng Gao(25), Yizhe Zhang(15), Xiang Gao(7), William B. Dolan(6), Lucy Vanderwende(6), Michael Gamon(6), Chris Quirk(5), Zhe Gan(5), Jiwei Li(4), Georgios Spithourakis(4), Alessandro Sordoni(4), Michael Auli(4), Yangfeng Ji(4), Margaret Mitchell(4), Hisami Suzuki(3), Sung‐Jin Lee(3), Siqi Sun(2), Yen-Chun Chen(2)