Chris Callison-Burch
Active 1999–2026
- Also published as
- Chris Callison-burch
- 311
- Papers
- 24,586
- Citations
- 61
- h-index
- 180
- i10-index
Citations
Citation sources
Countries
Institutions
- Carnegie Mellon University1.9%
- University of Edinburgh1.5%
- Johns Hopkins University1.4%
- Dublin City University1.3%
- Google (United States)1.1%
- Stanford University0.9%
- Other91.9%
Fields
- Computer Science89.5%
- Social Sciences3%
- Medicine1.3%
- Engineering1.1%
- Psychology1.1%
- Decision Sciences0.9%
- Other3.1%
Topics
- Topic Modeling24%
- Natural Language Processing Techniques22.7%
- Text Readability and Simplification4.8%
- Multimodal Machine Learning Applications4.3%
- Speech and dialogue systems3.3%
- Semantic Web and Ontologies2.3%
- Other38.6%
Coauthors
- Philipp Koehn32
- Marianna Apidianaki22
- Ellie Pavlick21
- Christof Monz20
- Matt Post19
- Benjamin Van Durme18
- Daphne Ippolito18
- Li Zhang18
- Liam Dugan18
- Ajay Patel15
- Juri Ganitkevitch15
- Ann Irvine14
- Delip Rao14
- Jonathan Weese14
- Qing Lyu14
- Yue Yang14
- Omar Zaidan13
- Sanjeev Khudanpur13
- Andrew Zhu12
- Mark Yatskar12
- Adam Lopez11
- Anne Cocos11
- Miles Osborne11
- Bryan Li9
All papers
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Authors: Aarohi Srivastava, Abhinav Rastogi, Abhishek S. Rao, Abu Awal Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Slone, Ambrose, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Madotto, Andrea, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakaş, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Lin, Blake Stephen Howald, Orinion, Bryan, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian C. Voigt, Christopher D. Manning, Christopher Potts, Ramirez, Cindy, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Gârbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Perszyk, Danielle, Danny Hernandez, Danqi Chen, Daphne Ippolito and 351 more - Trans. Mach. Learn. Res. 2023 cited by 1,480
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
Authors: Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 cited by 447
- Deduplicating Training Data Makes Language Models Better
Authors: Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2022 cited by 487
- Faithful Chain-of-Thought Reasoning
Authors: Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch - Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), IJCNLP (1) 2023 cited by 182
- Optimizing Statistical Machine Translation for Text Simplification
Authors: Wei Xu, Courtney Napoles, Ellie Pavlick, Quanze Chen, Chris Callison-Burch - Transactions of the Association for Computational Linguistics, Trans. Assoc. Comput. Linguistics 2016 cited by 520
- A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
Authors: Kotaro Hara, Abi Adams‐Prassl, Kristy Milland, Saiph Savage, Chris Callison-Burch, Jeffrey P. Bigham - CHI Conference on Human Factors in Computing Systems 2018 cited by 487
- Human and Automatic Detection of Generated Text
Authors: Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck - arXiv (Cornell University), CoRR 2019 cited by 75
- A Recipe For Arbitrary Text Style Transfer with Large Language Models
Authors: Emily Reif, Daphne Ippolito, Ann Yuan, Andy Coenen, Chris Callison-Burch, Jason Wei - Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL (2) 2022 cited by 109
- Moses: Open Source Toolkit for Statistical Machine Translation
Authors: Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, Evan Herbst - Meeting of the ACL on Interactive Poster and Demonstration Sessions - ACL '07 2007 cited by 6,544
- CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization
Authors: Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter A. Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, Peter Clark - arXiv (Cornell University), CoRR 2023 cited by 46
- Artificial Intelligence in mental health and the biases of language based models
Authors: Isabel Straw, Chris Callison-Burch - PLoS ONE 2020 cited by 155
- Large Language Models Can Self-Improve At Web Agent Tasks
Authors: Ajay Patel, Markus Hofmarcher, Claudiu Leoveanu-Condrei, Marius-Constantin Dinu, Chris Callison-Burch, Sepp Hochreiter - arXiv (Cornell University), CoRR 2024 cited by 40
- Problems in Current Text Simplification Research: New Data Can Help
Authors: Wei Xu, Chris Callison-Burch, Courtney Napoles - Transactions of the Association for Computational Linguistics, Trans. Assoc. Comput. Linguistics 2015 cited by 372
- Calibrating Large Language Models with Sample Consistency
Authors: Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch - AAAI Conference on Artificial Intelligence 2025 cited by 40
- RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
Authors: Liam Dugan, Alyssa Hwang, Filip Trhlík, Andrew Zhu, Josh Magnus Ludan, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 cited by 36
- Towards Faithful Model Explanation in NLP: A Survey
Authors: Qing Lyu, Marianna Apidianaki, Chris Callison-Burch - Computational Linguistics, Comput. Linguistics 2024 cited by 73
- Holodeck: Language Guided Generation of 3D Embodied AI Environments
Authors: Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 cited by 53
- DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Authors: Ajay Patel, Colin Raffel, Chris Callison-Burch - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 cited by 29
- Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
Authors: Yue Yang, Ajay Patel, Matt Deitke, Tanmay Gupta, Luca Weihs, Andrew Head, Mark Yatskar, Chris Callison-Burch, Ranjay Krishna, Aniruddha Kembhavi, Christopher Clark - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2025 cited by 27
- Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck
Authors: Josh Magnus Ludan, Qing Lyu, Yue Yang, Liam Dugan, Mark Yatskar, Chris Callison-Burch - arXiv (Cornell University), CoRR 2023 cited by 26
- CALYPSO: LLMs as Dungeon Master's Assistants
Authors: Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch - AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2023 cited by 26
- FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models
Authors: Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch - Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL (Short Papers) 2024 cited by 23
- Proceedings of the Sixth Workshop on Statistical Machine Translation
Authors: Chris Callison-Burch, Philipp Koehn, Christof Monz, Omar F. Zaidan - 2011 cited by 169
- Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims
Authors: Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth - Conference of the North, NAACL-HLT (1) 2019 cited by 108
