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Chris Callison-Burch

Natural Language Processing (NLP) Large Language Models Generative AI AI Applications In Copyright Law
University of Pennsylvania Computer and Information Science

About

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.

Research Performance Summary

342
Total Papers
35783
Total Citations
75
H-Index
2000-2026
Active Research Span

First Recorded Paper

Reconciling user expectations and translation technology to create a useful real-world application

Year: 2000

Citations: 26

Venue: Proceedings of Translating and the Computer 22

Latest Recorded Paper

FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale

Year: 2026

Citations: 0

Venue: arXiv preprint arXiv:2601.22146

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
2
2025
25
2024
32
2023
36
2022
28
2021
14
2020
16
2019
13
2018
9
2017
9
2016
12

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 211
Journal 14
Book 8

Top Coauthors

Callison-Burch Zhang

Research Impact by Period

2025-2026

Period Stats
Papers 27
Citations 716
Avg. Citations / Paper 26.5
H-Index 8

2020-2024

Period Stats
Papers 126
Citations 8447
Avg. Citations / Paper 67
H-Index 36

2015-2019

Period Stats
Papers 57
Citations 4900
Avg. Citations / Paper 86
H-Index 25

2010-2014

Period Stats
Papers 71
Citations 6493
Avg. Citations / Paper 91.5
H-Index 36

2005-2009

Period Stats
Papers 44
Citations 14084
Avg. Citations / Paper 320.1
H-Index 25

2000-2004

Period Stats
Papers 17
Citations 1143
Avg. Citations / Paper 67.2
H-Index 11

Contact and Professional Links

Contact Information

ccb@upenn.edu

Detected Research Keywords

Statistical Machine Translation Workshop Statistical Machine Amazon Mechanical Turk Open Source Toolkit Parsing Machine Translation Natural Language Processing Machine Generated Text Bilingual Lexicon Induction Semantically Informed Syntactic Discriminative Language Modeling