Dustin Wright

According to our database, Dustin Wright authored at least 24 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Efficiency Is Not Enough: A Critical Perspective on Environmentally Sustainable AI.

Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan

Commun. ACM, July, 2025

Machine Understanding of Scientific Language.

Dustin Wright

CoRR, June, 2025

Modeling Public Perceptions of Science in Media.

Jiaxin Pei, Dustin Wright, Isabelle Augenstein, David Jurgens

CoRR, June, 2025

Unstructured Evidence Attribution for Long Context Query Focused Summarization.

Dustin Wright, Zain Muhammad Mujahid, Lu Wang, Isabelle Augenstein, David Jurgens

CoRR, February, 2025

Collecting Cost-Effective, High-Quality Truthfulness Assessments with LLM Summarized Evidence.

Kevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro

CoRR, January, 2025

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking.

Kevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue.

Jonathan Ivey, Shivani Kumar, Jiayu Liu, Hua Shen, Sushrita Rakshit, Rohan Raju, Haotian Zhang, Aparna Ananthasubramaniam, Junghwan Kim, Bowen Yi, Dustin Wright, Abraham Israeli, Anders Giovanni Møller, Lechen Zhang, David Jurgens

CoRR, 2024

Revealing Fine-Grained Values and Opinions in Large Language Models.

Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge J. Belongie, Isabelle Augenstein

CoRR, 2024

BMRS: Bayesian Model Reduction for Structured Pruning.

Dustin Wright, Christian Igel, Raghavendra Selvan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models.

Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge J. Belongie, Isabelle Augenstein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Understanding Fine-grained Distortions in Reports of Scientific Findings.

Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Introduction to the Special Issue on Truth and Trust Online.

Dustin Wright, Paolo Papotti, Isabelle Augenstein

ACM J. Data Inf. Qual., March, 2023

Revisiting Softmax for Uncertainty Approximation in Text Classification.

Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein

Inf., 2023

2022

Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization.

Dustin Wright, Isabelle Augenstein

CoRR, 2022

Modeling Information Change in Science Communication with Semantically Matched Paraphrases.

Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generating Scientific Claims for Zero-Shot Scientific Fact Checking.

Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Longitudinal Citation Prediction using Temporal Graph Neural Networks.

Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein

Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021

Semi-Supervised Exaggeration Detection of Health Science Press Releases.

Dustin Wright, Isabelle Augenstein

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding.

Dustin Wright, Isabelle Augenstein

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Fact Check-Worthiness Detection as Positive Unlabelled Learning.

Dustin Wright, Isabelle Augenstein

CoRR, 2020

University of Copenhagen Participation in TREC Health Misinformation Track 2020.

Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Transformer Based Multi-Source Domain Adaptation.

Dustin Wright, Isabelle Augenstein

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Claim Check-Worthiness Detection as Positive Unlabelled Learning.

Dustin Wright, Isabelle Augenstein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Generating Label Cohesive and Well-Formed Adversarial Claims.

Pepa Atanasova, Dustin Wright, Isabelle Augenstein

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020