Dustin Wright

38 papers A* 4Journal 24Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Collecting Cost-Effective, High-Quality Truthfulness Assessments with LLM Summarized Evidence.
CoRR
Kevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro
2025 J jnl
Efficiency Is Not Enough: A Critical Perspective on Environmentally Sustainable AI.
Commun. ACM
Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
2025 A* conf
Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking.
SIGIR
Kevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro
2025 J jnl
Epistemic Diversity and Knowledge Collapse in Large Language Models.
CoRR
Dustin Wright, Sarah Masud, Jared Moore, Srishti Yadav, Maria Antoniak, Chan Young Park, Isabelle Augenstein
2025 J jnl
Machine Understanding of Scientific Language.
CoRR
Dustin Wright
2025 J jnl
Modeling Public Perceptions of Science in Media.
CoRR
Jiaxin Pei, Dustin Wright, Isabelle Augenstein, David Jurgens
2025 J jnl
Stress Testing Factual Consistency Metrics for Long-Document Summarization.
CoRR
Zain Muhammad Mujahid, Dustin Wright, Isabelle Augenstein
2025 A* conf
Unstructured Evidence Attribution for Long Context Query Focused Summarization.
EMNLP
Dustin Wright, Zain Muhammad Mujahid, Lu Wang, Isabelle Augenstein, David Jurgens
2025 J jnl
Unstructured Evidence Attribution for Long Context Query Focused Summarization.
CoRR
Dustin Wright, Zain Muhammad Mujahid, Lu Wang, Isabelle Augenstein, David Jurgens
2024 A* conf
BMRS: Bayesian Model Reduction for Structured Pruning.
NeurIPS
Dustin Wright, Christian Igel, Raghavendra Selvan
2024 J jnl
BMRS: Bayesian Model Reduction for Structured Pruning.
CoRR
Dustin Wright, Christian Igel, Raghavendra Selvan
2024 — conf
LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models.
EMNLP (Findings)
Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge J. Belongie, Isabelle Augenstein
2024 J jnl
Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue.
CoRR
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
2024 J jnl
Revealing Fine-Grained Values and Opinions in Large Language Models.
CoRR
Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge J. Belongie, Isabelle Augenstein
2024 — conf
Understanding Fine-grained Distortions in Reports of Scientific Findings.
ACL (Findings)
Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein
2024 J jnl
Understanding Fine-grained Distortions in Reports of Scientific Findings.
CoRR
Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein
2023 J jnl
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI.
CoRR
Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
2023 J jnl
Introduction to the Special Issue on Truth and Trust Online.
ACM J. Data Inf. Qual.
Dustin Wright, Paolo Papotti, Isabelle Augenstein
2023 J jnl
Revisiting Softmax for Uncertainty Approximation in Text Classification.
Inf.
Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein
2022 — conf
Generating Scientific Claims for Zero-Shot Scientific Fact Checking.
ACL (1)
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang
2022 J jnl
Generating Scientific Claims for Zero-Shot Scientific Fact Checking.
CoRR
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang
2022 — conf
Longitudinal Citation Prediction using Temporal Graph Neural Networks.
SDU@AAAI
Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein
2022 A* conf
Modeling Information Change in Science Communication with Semantically Matched Paraphrases.
EMNLP
Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
2022 J jnl
Modeling Information Change in Science Communication with Semantically Matched Paraphrases.
CoRR
Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
2022 J jnl
Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization.
CoRR
Dustin Wright, Isabelle Augenstein
2022 J jnl
Revisiting Softmax for Uncertainty Approximation in Text Classification.
CoRR
Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein
2021 — conf
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding.
ACL/IJCNLP (Findings)
Dustin Wright, Isabelle Augenstein
2021 J jnl
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding.
CoRR
Dustin Wright, Isabelle Augenstein
2021 — ed.
Proceedings of the 2021 Truth and Trust Online Conference (TTO 2021), Virtual, October 7-8, 2021.
TTO
Isabelle Augenstein, Paolo Papotti, Dustin Wright
2021 — conf
Semi-Supervised Exaggeration Detection of Health Science Press Releases.
EMNLP (1)
Dustin Wright, Isabelle Augenstein
2021 J jnl
Semi-Supervised Exaggeration Detection of Health Science Press Releases.
CoRR
Dustin Wright, Isabelle Augenstein
2020 — conf
Claim Check-Worthiness Detection as Positive Unlabelled Learning.
EMNLP (Findings)
Dustin Wright, Isabelle Augenstein
2020 J jnl
Fact Check-Worthiness Detection as Positive Unlabelled Learning.
CoRR
Dustin Wright, Isabelle Augenstein
2020 — conf
Generating Label Cohesive and Well-Formed Adversarial Claims.
EMNLP (1)
Pepa Atanasova, Dustin Wright, Isabelle Augenstein
2020 J jnl
Generating Label Cohesive and Well-Formed Adversarial Claims.
CoRR
Pepa Atanasova, Dustin Wright, Isabelle Augenstein
2020 J jnl
Longitudinal Citation Prediction using Temporal Graph Neural Networks.
CoRR
Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein
2020 — conf
Transformer Based Multi-Source Domain Adaptation.
EMNLP (1)
Dustin Wright, Isabelle Augenstein
2020 J jnl
Transformer Based Multi-Source Domain Adaptation.
CoRR
Dustin Wright, Isabelle Augenstein