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20232025
most citedArtificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks

73 citations · 129 across the 15 of their papers we have counts for

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cs.SI2025

Web2Wiki: Characterizing Wikipedia Linking Across the Web

Veniamin Veselovsky, Tiziano Piccardi, Ashton Anderson +2

Wikipedia is one of the most visited websites globally, yet its role beyond its own platform remains largely unexplored. In this paper, we present the first large-scale analysis of…

cs.CL2025

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models

Liyi Zhang, Veniamin Veselovsky, R. Thomas McCoy +1

Large language models (LLMs) sometimes fail to respond appropriately to deterministic tasks -- such as counting or forming acronyms -- because the implicit prior distribution they…

cs.CL2025

Localized Cultural Knowledge is Conserved and Controllable in Large Language Models

Veniamin Veselovsky, Berke Argin, Benedikt Stroebl +5

Just as humans display language patterns influenced by their native tongue when speaking new languages, LLMs often default to English-centric responses even when generating in othe…

cs.CL2025

Levels of Analysis for Large Language Models

Alexander Y. Ku, Declan Campbell, Xuechunzi Bai +10

Modern artificial intelligence systems, such as large language models, are increasingly powerful but also increasingly hard to understand. Recognizing this problem as analogous to…

cs.CL2025

What is a Number, That a Large Language Model May Know It?

Raja Marjieh, Veniamin Veselovsky, Thomas L. Griffiths +1

Numbers are a basic part of how humans represent and describe the world around them. As a consequence, learning effective representations of numbers is critical for the success of…