Chris Callison-Burch is a Professor of Computer and Information Science at the University of Pennsylvania. His course on Artificial Intelligence has one of the highest enrollments at the university with over 500 students taking the class each Fall.
He is best known for his research into natural language processing. His current research is focused on applications of large language models to long-standing challenges in artificial intelligence.
Prof Callison-Burch has more than 200 publications, which have been cited over 35,000 times. He is a Sloan Research Fellow, and he has received faculty research awards from Google, Microsoft, Amazon, Facebook, and Roblox, in addition to funding from DARPA, IARPA, and the NSF.
In 2023, Prof. Callison-Burch testified before congress about the relationship of generative AI and Copyright Law.
Recent Papers
- Autorubric: A Unified Framework for Rubric-Based LLM Evaluation. Delip Rao, Chris Callison-Burch. arXiv, 2026.
- Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation. Yue Yang, Ajay Patel, Matt Deitke, Tanmay Gupta, Luca Weihs, et al.. ACL, 2025. Senior Area Chair highlight award at ACL 2025
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, et al.. CVPR, 2025. Best Paper Honorable Mention Award at CVPR 2025
- Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage. Jenny S Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Chris Callison-Burch, David Rothschild, Duncan J Watts. CHI, 2025.
- ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems. Andrew Zhu, Liam Dugan, Chris Callison-Burch. EMNLP, 2024.
Recent Press
- The Washington Post."A bots-only social network triggers fears of an AI uprising" by Tatum Hunter. February 3, 2026
- Penn Today."Penn Engineering's Chris Callison-Burch on 25 years of AI innovation" by Penn Engineering. January 16, 2026
- WHYY."Can teachers spot AI writing? Penn researchers weigh in" by Liz Tung. November 28, 2025
- The Pulse (WHYY)."How Chatbots Make Us Feel" by Maiken Scott (host), Liz Tung (reporter). November 14, 2025
- WHYY."How not to be mistaken for a chatbot" by Liz Tung. November 18, 2025
Recent Talks
- Global Conference on Frontier AI at the Brookings Instituion. Undetectable AI: Risks, Challenges, and Policy Implications. September 16 2024
- Informatics in the Round podcast. Chatbots in Healthcare: The Ultimate Turing Test. August 28, 2024
- Penn Engineering Podcast. Exploring AI in Engineering. April 24, 2024
- Howard University NLP Course. Using Large Language Models to Build Explainable Classifiers. April 8, 2024
- The Nancy Ide Annual Lecture in Computer Science, Vassar College. Using Large Language Models to Build Explainable Classifiers. April 5, 2024
Email: ccb@upenn.eduOffice: AGH 420
Office Hours: Wednesdays 3:30-4:30 in AGH 431 (Spring 2026)