Dustin Wright

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Text Classification

Chaotic Time Series

Top Venues

Publications

Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge Belongie, Isabelle Augenstein
Revealing Fine-Grained Values and Opinions in Large Language Models. CoRR (2024)
Dustin Wright, Christian Igel, Raghavendra Selvan
BMRS: Bayesian Model Reduction for Structured Pruning. CoRR (2024)
Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein
Understanding Fine-grained Distortions in Reports of Scientific Findings. ACL (Findings) (2024)
Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein
Understanding Fine-grained Distortions in Reports of Scientific Findings. CoRR (2024)
Dustin Wright, Paolo Papotti, Isabelle Augenstein
Introduction to the Special Issue on Truth and Trust Online. ACM J. Data Inf. Qual. 15 (1) (2023)
Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI. CoRR (2023)
Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein
Revisiting Softmax for Uncertainty Approximation in Text Classification. Inf. 14 (7) (2023)
Dustin Wright, Isabelle Augenstein
Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization. CoRR (2022)
Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
Modeling Information Change in Science Communication with Semantically Matched Paraphrases. EMNLP (2022)
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. ACL (1) (2022)
Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
Modeling Information Change in Science Communication with Semantically Matched Paraphrases. CoRR (2022)
Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein
Longitudinal Citation Prediction using Temporal Graph Neural Networks. SDU@AAAI (2022)
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. CoRR (2022)
Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein
Revisiting Softmax for Uncertainty Approximation in Text Classification. CoRR (2022)
Dustin Wright, Isabelle Augenstein
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding. ACL/IJCNLP (Findings) (2021)
Dustin Wright, Isabelle Augenstein
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding. CoRR (2021)
Dustin Wright, Isabelle Augenstein
Semi-Supervised Exaggeration Detection of Health Science Press Releases. EMNLP (1) (2021)
Dustin Wright, Isabelle Augenstein
Semi-Supervised Exaggeration Detection of Health Science Press Releases. CoRR (2021)
Dustin Wright, Isabelle Augenstein
Transformer Based Multi-Source Domain Adaptation. EMNLP (1) (2020)
Dustin Wright, Isabelle Augenstein
Fact Check-Worthiness Detection as Positive Unlabelled Learning. CoRR (2020)
Dustin Wright, Isabelle Augenstein
Transformer Based Multi-Source Domain Adaptation. CoRR (2020)
Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein
Longitudinal Citation Prediction using Temporal Graph Neural Networks. CoRR (2020)
Pepa Atanasova, Dustin Wright, Isabelle Augenstein
Generating Label Cohesive and Well-Formed Adversarial Claims. EMNLP (1) (2020)
Dustin Wright, Isabelle Augenstein
Claim Check-Worthiness Detection as Positive Unlabelled Learning. EMNLP (Findings) (2020)
Pepa Atanasova, Dustin Wright, Isabelle Augenstein
Generating Label Cohesive and Well-Formed Adversarial Claims. CoRR (2020)