6 citations · 10 across the 11 of their papers we have counts for
11 papers
The Masked Advantage: Uncovering Local-Language Access to Cultural Knowledge in LLMs
Yang Zhang, Xiao Fei, Amr Mohamed +6
Large language models are increasingly used to answer culturally grounded questions across languages, yet it remains unclear whether local cultural knowledge is better accessed thr…
Beyond Via: Analysis and Estimation of the Impact of Large Language Models in Academic Papers
Mingmeng Geng, Yuhang Dong, Thierry Poibeau
Through an analysis of arXiv papers, we report several shifts in word usage that are likely driven by large language models (LLMs) but have not previously received sufficient atten…
Markovian Generation Chains in Large Language Models
Mingmeng Geng, Amr Mohamed, Guokan Shang +2
The widespread use of large language models (LLMs) raises an important question: how do texts evolve when they are repeatedly processed by LLMs? In this paper, we define this itera…
On the Detectability of LLM-Generated Text: What Exactly Is LLM-Generated Text?
Mingmeng Geng, Thierry Poibeau
With the widespread use of large language models (LLMs), many researchers have turned their attention to detecting text generated by them. However, there is no consistent or precis…
code_transformed: The Influence of Large Language Models on Code
Yuliang Xu, Siming Huang, Mingmeng Geng +3
Coding remains one of the most fundamental modes of interaction between humans and machines. With the rapid advancement of Large Language Models (LLMs), code generation capabilitie…
Wikipedia in the Era of LLMs: Evolution and Risks
Siming Huang, Yuliang Xu, Mingmeng Geng +2
In this paper, we present a comprehensive analysis and monitoring framework for the impact of Large Language Models (LLMs) on Wikipedia, examining the evolution of Wikipedia throug…
Human-LLM Coevolution: Evidence from Academic Writing
Mingmeng Geng, Roberto Trotta
With a statistical analysis of arXiv paper abstracts, we report a marked drop in the frequency of several words previously identified as overused by ChatGPT, such as "delve", start…
LLM as a Broken Telephone: Iterative Generation Distorts Information
Amr Mohamed, Mingmeng Geng, Michalis Vazirgiannis +1
As large language models are increasingly responsible for online content, concerns arise about the impact of repeatedly processing their own outputs. Inspired by the "broken teleph…
The Impact of Large Language Models in Academia: from Writing to Speaking
Mingmeng Geng, Caixi Chen, Yanru Wu +3
Large language models (LLMs) are increasingly impacting human society, particularly in textual information. Based on more than 30,000 papers and 1,000 presentations from machine le…
Are Large Language Models Chameleons? An Attempt to Simulate Social Surveys
Mingmeng Geng, Sihong He, Roberto Trotta
Can large language models (LLMs) simulate social surveys? To answer this question, we conducted millions of simulations in which LLMs were asked to answer subjective questions. A c…
Is ChatGPT Transforming Academics' Writing Style?
Mingmeng Geng, Roberto Trotta
Based on one million arXiv papers submitted from May 2018 to January 2024, we assess the textual density of ChatGPT's writing style in their abstracts through a statistical analysi…