activity
20232026
most citedLLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions

5 citations · 24 across the 17 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CL2025★ 2 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

Research Borderlands: Analysing Writing Across Research Cultures

Shaily Bhatt, Tal August, Maria Antoniak

Improving cultural competence of language technologies is important. However most recent works rarely engage with the communities they study, and instead rely on synthetic setups a…

cs.CL2025

Meaning Is Not A Metric: Using LLMs to make cultural context legible at scale

Cody Kommers, Drew Hemment, Maria Antoniak +4

This position paper argues that large language models (LLMs) can make cultural context, and therefore human meaning, legible at an unprecedented scale in AI-based sociotechnical sy…

cs.CV2025★ 1 cited

Evaluation of Cultural Competence of Vision-Language Models

Srishti Yadav, Lauren Tilton, Maria Antoniak +10

Modern vision-language models (VLMs) often fail at cultural competency evaluations and benchmarks. Given the diversity of applications built upon VLMs, there is renewed interest in…

cs.CL2025

Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models

Abhilasha Ravichander, Jillian Fisher, Taylor Sorensen +6

High-quality training data has proven crucial for developing performant large language models (LLMs). However, commercial LLM providers disclose few, if any, details about the data…

cs.CL2025★ 1 cited

Multi-Modal Framing Analysis of News

Arnav Arora, Srishti Yadav, Maria Antoniak +2

Automated frame analysis of political communication is a popular task in computational social science that is used to study how authors select aspects of a topic to frame its recep…

cs.CL2025

Automatic Detection of Research Values from Scientific Abstracts Across Computer Science Subfields

Hang Jiang, Tal August, Luca Soldaini +2

The field of Computer science (CS) has rapidly evolved over the past few decades, providing computational tools and methodologies to various fields and forming new interdisciplinar…