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Liam Dugan
Liam Dugan
Verified email at seas.upenn.edu - Homepage
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Cited by
Year
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
8772022
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
492020
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
322023
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
322022
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
172019
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
62023
Automatic Detection of Hybrid Human-Machine Text Boundaries
J Cutler, L Dugan, S Havaldar, A Stein
42021
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
32023
Fanoutqa: Multi-hop, multi-document question answering for large language models
A Zhu, A Hwang, L Dugan, C Callison-Burch
arXiv preprint arXiv:2402.14116, 2024
22024
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
22022
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
12024
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
12023
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
12023
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
12023
Learning Formality from Japanese-English Parallel Corpora
L Dugan
University of Pennsylvania, 2020
2020
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