Generating Label Cohesive and Well-Formed Adversarial Claims. - Pepa Atanasova; Dustin Wright 001; Isabelle Augenstein (EMNLP (1), 2020)

Claim Check-Worthiness Detection as Positive Unlabelled Learning. - Dustin Wright 001; Isabelle Augenstein (EMNLP (Findings), 2020)

Transformer Based Multi-Source Domain Adaptation. - Dustin Wright 001; Isabelle Augenstein (EMNLP (1), 2020)

University of Copenhagen Participation in TREC Health Misinformation Track 2020. - Lucas Chaves Lima; Dustin Brandon Wright; Isabelle Augenstein; Maria Maistro (TREC, 2020)

Fact Check-Worthiness Detection as Positive Unlabelled Learning. - Dustin Wright 001; Isabelle Augenstein (CoRR, 2020)

CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding. - Dustin Wright 001; Isabelle Augenstein (ACL/IJCNLP (Findings), 2021)

Semi-Supervised Exaggeration Detection of Health Science Press Releases. - Dustin Wright 001; Isabelle Augenstein (EMNLP (1), 2021)

Longitudinal Citation Prediction using Temporal Graph Neural Networks. - Andreas Nugaard Holm; Barbara Plank; Dustin Wright 001; Isabelle Augenstein (SDU@AAAI, 2022)

Generating Scientific Claims for Zero-Shot Scientific Fact Checking. - Dustin Wright 001; David Wadden; Kyle Lo; Bailey Kuehl; Arman Cohan; Isabelle Augenstein; Lucy Lu Wang (ACL (1), 2022)

Modeling Information Change in Science Communication with Semantically Matched Paraphrases. - Dustin Wright 001; Jiaxin Pei; David Jurgens; Isabelle Augenstein (EMNLP, 2022)

Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization. - Dustin Wright 001; Isabelle Augenstein (CoRR, 2022)

Revisiting Softmax for Uncertainty Approximation in Text Classification. - Andreas Nugaard Holm; Dustin Wright 001; Isabelle Augenstein (Inf., 2023)

Introduction to the Special Issue on Truth and Trust Online. - Dustin Wright 001; Paolo Papotti; Isabelle Augenstein (ACM J. Data Inf. Qual., 2023)

Understanding Fine-grained Distortions in Reports of Scientific Findings. - Amelie Wührl; Dustin Wright 001; Roman Klinger; Isabelle Augenstein (ACL (Findings), 2024)

LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models. - Dustin Wright 001; Arnav Arora; Nadav Borenstein; Srishti Yadav; Serge J. Belongie; Isabelle Augenstein (EMNLP (Findings), 2024)

BMRS: Bayesian Model Reduction for Structured Pruning. - Dustin Wright 001; Christian Igel; Raghavendra Selvan (NeurIPS, 2024)

Revealing Fine-Grained Values and Opinions in Large Language Models. - Dustin Wright 001; Arnav Arora; Nadav Borenstein; Srishti Yadav; Serge J. Belongie; Isabelle Augenstein (CoRR, 2024)

Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue. - Jonathan Ivey; Shivani Kumar; Jiayu Liu; Hua Shen 005; Sushrita Rakshit; Rohan Raju; Haotian Zhang; Aparna Ananthasubramaniam; Junghwan Kim; Bowen Yi; Dustin Wright 001; Abraham Israeli; et al. (CoRR, 2024)

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking. - Kevin Roitero; Dustin Wright 001; Michael Soprano; Isabelle Augenstein; Stefano Mizzaro (SIGIR, 2025)

Collecting Cost-Effective, High-Quality Truthfulness Assessments with LLM Summarized Evidence. - Kevin Roitero; Dustin Wright 001; Michael Soprano; Isabelle Augenstein; Stefano Mizzaro (CoRR, 2025)

Unstructured Evidence Attribution for Long Context Query Focused Summarization. - Dustin Wright 001; Zain Muhammad Mujahid; Lu Wang 008; Isabelle Augenstein; David Jurgens (CoRR, 2025)

Modeling Public Perceptions of Science in Media. - Jiaxin Pei; Dustin Wright 001; Isabelle Augenstein; David Jurgens (CoRR, 2025)

Machine Understanding of Scientific Language. - Dustin Wright 001 (CoRR, 2025)

Efficiency Is Not Enough: A Critical Perspective on Environmentally Sustainable AI. - Dustin Wright 001; Christian Igel; Gabrielle Samuel; Raghavendra Selvan (Commun. ACM, 2025)