1 citations · 1 across the 11 of their papers we have counts for
15 papers
Evaluating Sycophancy in Chinese Large Language Models on Factual Questions Derived from Online Search Queries
Geng Liu, Feng Li, Mengxiao Zhu +1
As large language models increasingly mediate information access, factually accurate and independent answers are critical. However, these models can exhibit sycophancy by aligning…
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…
Benchmarking AI Agents for Hardware Design Automation via MCP Tool Calling
Leonardo Liparulo, Francesco Pierri
We ask whether AI agents powered by locally deployed large language models can reliably automate expert-defined hardware design workflows in an industry-realistic tool-calling sett…
Auditing Exposure to Harmful Content on TikTok using Multimodal Language Models: A Cross-National, Age-Stratified Study
Hamidreza Saffari, Francesco Pierri
Online video platforms can expose young users to harmful content, but independent audits remain difficult because video annotation is costly and moderation judgments vary across la…
Personality Shapes Gender Bias in Persona-Conditioned LLM Narratives Across English and Hindi: An Empirical Investigation
Tanay Kumar, Shreya Gautam, Aman Chadha +2
Large Language Models (LLMs) are increasingly deployed in persona-driven applications such as education, customer service, and social platforms, where models are prompted to adopt…
From Content to Audience: A Multimodal Annotation Framework for Broadcast Television Analytics
Paolo Cupini, Francesco Pierri
Automated semantic annotation of broadcast television content presents distinctive challenges, combining structured audiovisual composition, domain-specific editorial patterns, and…
Overreliance on AI in Information-seeking from Video Content
Anders Giovanni Møller, Elisa Bassignana, Francesco Pierri +1
The ubiquity of multimedia content is reshaping online information spaces, particularly in social media environments. At the same time, search is being rapidly transformed by gener…
Evaluating Reliability Asymmetries in Chinese Factual Search and AI Answers
Geng Liu, Li Feng, Mengxiao Zhu +1
Search engines and AI-powered systems increasingly mediate access to factual information, yet their reliability remains difficult to evaluate in realistic information-seeking setti…
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…
Towards an Automated Framework to Audit Youth Safety on TikTok
Linda Xue, Francesco Corso, Nicolo' Fontana +3
This paper investigates the effectiveness of TikTok's enforcement mechanisms for limiting the exposure of harmful content to youth accounts. We collect over 7000 videos, classify t…
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…
Nicer Than Humans: How do Large Language Models Behave in the Prisoner's Dilemma?
Nicoló Fontana, Francesco Pierri, Luca Maria Aiello
The behavior of Large Language Models (LLMs) as artificial social agents is largely unexplored, and we still lack extensive evidence of how these agents react to simple social stim…
Can I introduce my boyfriend to my grandmother? Evaluating Large Language Models Capabilities on Iranian Social Norm Classification
Hamidreza Saffari, Mohammadamin Shafiei, Donya Rooein +2
Creating globally inclusive AI systems demands datasets reflecting diverse social norms. Iran, with its unique cultural blend, offers an ideal case study, with Farsi adding linguis…