Liam Dugan

Liam Dugan

University of Pennsylvania

H-index: 5

North America-United States

About Liam Dugan

Liam Dugan, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Natural Language Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models

Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck

Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications

Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models

Enhancing human summaries for question-answer generation in education

Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text

Exploring the Curious Case of Code Prompts

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

Liam Dugan Information

University

Position

___

Citations(all)

606

Citations(since 2020)

605

Cited By

9

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Liam Dugan Skills & Research Interests

Natural Language Processing

Machine Learning

Top articles of Liam Dugan

FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models

arXiv preprint arXiv:2402.14116

2024/2/21

Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck

arXiv preprint arXiv:2310.19660

2023/10/30

Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications

arXiv preprint arXiv:2309.05542

2023/9/11

Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models

arXiv preprint arXiv:2306.01201

2023/6/1

Enhancing human summaries for question-answer generation in education

2023/7

Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Exploring the Curious Case of Code Prompts

2023/6

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

arXiv preprint arXiv:2206.04615

2022/6/9

A Feasibility Study of Answer-Agnostic Question Generation for Education

arXiv preprint arXiv:2203.08685

2022/3/16

The Case for a Single Model that can Both Generate Continuations and Fill in the Blank

arXiv preprint arXiv:2206.04812

2022/6/9

Automatic Detection of Hybrid Human-Machine Text Boundaries

2021

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text

arXiv preprint arXiv:2010.03070

2020/10/6

Learning Formality from Japanese-English Parallel Corpora

2020

Liam Dugan
Liam Dugan

H-Index: 2

See List of Professors in Liam Dugan University(University of Pennsylvania)