1 citations · 1 across the 3 of their papers we have counts for
6 papers
Auditing Source Exposure in Baidu and Google AI Search
Yibo Li, Enci Guan, Yuedan Cai +2
AI-generated overviews are becoming an increasingly prominent layer of search interfaces, yet their behavior in Chinese-language search remains underexplored. We conduct a cross-li…
Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social Groups
Geng Liu, Feng Li, Junjie Mu +2
Large language models (LLMs) are increasingly deployed in user-facing applications, raising concerns that they may reflect and amplify social biases. We investigate social identity…
Evaluating Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards
Geng Liu, Li Feng, Carlo Alberto Bono +3
Recent research has highlighted that assigning specific personas to large language models (LLMs) can significantly increase harmful content generation. However, limited attention h…
Analyzing the Safety of Japanese Large Language Models in Stereotype-Triggering Prompts
Akito Nakanishi, Yukie Sano, Geng Liu +1
In recent years, Large Language Models have attracted growing interest for their significant potential, though concerns have rapidly emerged regarding unsafe behaviors stemming fro…
Comparing diversity, negativity, and stereotypes in Chinese-language AI technologies: an investigation of Baidu, Ernie and Qwen
Geng Liu, Carlo Alberto Bono, Francesco Pierri
Large Language Models (LLMs) and search engines have the potential to perpetuate biases and stereotypes by amplifying existing prejudices in their training data and algorithmic pro…
A comparison of online search engine autocompletion in Google and Baidu
Geng Liu, Pietro Pinoli, Stefano Ceri +1
Warning: This paper contains content that may be offensive or upsetting. Online search engine auto-completions make it faster for users to search and access information. However, t…