| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... Transactions of Machine Learning Research (TMLR), 2022 | 998 | 2022 |
| RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text L Dugan, D Ippolito, A Kirubarajan, C Callison-Burch Empirical Methods in Natural Language Processing: EMNLP 2020 System …, 2020 | 54 | 2020 |
| Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text L Dugan, D Ippolito, A Kirubarajan, S Shi, C Callison-Burch Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12763 …, 2023 | 49* | 2023 |
| A Feasibility Study of Answer-Agnostic Question Generation for Education L Dugan, E Miltsakaki, S Upadhyay, E Ginsberg, H Gonzalez, D Choi, ... Findings of the Association for Computational Linguistics: ACL 2022, 1919–1926, 2022 | 34 | 2022 |
| Cloud Chaser: real time deep learning computer vision on low computing power devices Z Luo, A Small, L Dugan, S Lane Eleventh International Conference on Machine Vision (ICMV 2018) 11041, 743-750, 2019 | 17 | 2019 |
| Exploring the Curious Case of Code Prompts L Zhang, L Dugan, H Xu, C Callison-Burch Proceedings of the 1st Workshop on Natural Language Reasoning and Structured …, 2023 | 9* | 2023 |
| Automatic Detection of Hybrid Human-Machine Text Boundaries J Cutler, L Dugan, S Havaldar, A Stein | 6 | 2021 |
| FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models A Zhu, A Hwang, L Dugan, C Callison-Burch Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 5* | 2024 |
| RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors L Dugan, A Hwang, F Trhlik, JM Ludan, A Zhu, H Xu, D Ippolito, ... arXiv preprint arXiv:2405.07940, 2024 | 5 | 2024 |
| Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications A Zhu, L Dugan, A Hwang, C Callison-Burch Proceedings of 3rd Workshop for NLP Open Source Software (NLP-OSS 2023), 2023 | 5 | 2023 |
| Enhancing human summaries for question-answer generation in education H Gonzalez, L Dugan, E Miltsakaki, Z Cui, J Ren, B Li, S Upadhyay, ... Proceedings of the 18th Workshop on Innovative Use of NLP for Building …, 2023 | 3 | 2023 |
| The Case for a Single Model that can Both Generate Continuations and Fill in the Blank D Ippolito, L Dugan, E Reif, A Yuan, A Coenen, C Callison-Burch Findings of the Association for Computational Linguistics: NAACL 2022, 2421–2432, 2022 | 3 | 2022 |
| Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck JM Ludan, Q Lyu, Y Yang, L Dugan, M Yatskar, C Callison-Burch arXiv preprint arXiv:2310.19660, 2023 | 2 | 2023 |
| Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models L Dugan, A Wadhawan, K Spence, C Callison-Burch, M McGuire, ... INTERSPEECH, 5265-5266, 2023 | 1 | 2023 |
| ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems A Zhu, L Dugan, C Callison-Burch arXiv preprint arXiv:2408.02248, 2024 | | 2024 |
| Learning Formality from Japanese-English Parallel Corpora L Dugan University of Pennsylvania, 2020 | | 2020 |
Chris Callison-BurchProfessor, University of PennsylvaniaVerified email at upenn.edu
