activity
20202025
most citedLongitudinal Citation Prediction using Temporal Graph Neural Networks

8 citations · 20 across the 12 of their papers we have counts for

collaborators
Showing 2025 · cs.CLShow all

5 papers · 2 filters

cs.CL2025

Stress Testing Factual Consistency Metrics for Long-Document Summarization

Zain Muhammad Mujahid, Dustin Wright, Isabelle Augenstein

Evaluating the factual consistency of abstractive text summarization remains a significant challenge, particularly for long documents, where conventional metrics struggle with inpu…

cs.CL20252 cited

What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models

Dustin Wright, Sarah Masud, Jared Moore +5

Large language models (LLMs) are increasingly used as primary knowledge sources, yet their epistemic diversity - defined as the diversity of real-world claims in their outputs - ha…

cs.CL2025

Modeling Public Perceptions of Science in Media

Jiaxin Pei, Dustin Wright, Isabelle Augenstein +1

Effectively engaging the public with science is vital for fostering trust and understanding in our scientific community. Yet, with an ever-growing volume of information, science co…

cs.CL20251 cited

Machine Understanding of Scientific Language

Dustin Wright

Scientific information expresses human understanding of nature. This knowledge is largely disseminated in different forms of text, including scientific papers, news articles, and d…

cs.CL2025

Unstructured Evidence Attribution for Long Context Query Focused Summarization

Dustin Wright, Zain Muhammad Mujahid, Lu Wang +2

Large language models (LLMs) are capable of generating coherent summaries from very long contexts given a user query, and extracting and citing evidence spans helps improve the tru…