From the 1 of 8 linked papers with an AI index.
1 citations · 1 across the 2 of their papers we have counts for
8 papers
FairCoder: Probing LLM Bias in High-Stakes Decision Making via Coding Tasks
Yongkang Du, Jen-tse Huang, Jieyu Zhao +1
The paper introduces FairCoder, a benchmark that uses coding tasks to detect implicit social bias in large language models when they are applied to high‑stakes decisions like hirin…
ProMediate: A Socio-cognitive framework for evaluating proactive agents in multi-party negotiation
Ziyi Liu, Bahar Sarrafzadeh, Pei Zhou +3
While Large Language Models (LLMs) are increasingly used in agentic frameworks to assist individual users, there is a growing need for agents that can proactively manage complex, m…
Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment
Priyanka Dey, Yugal Khanter, Aayush Bothra +2
As LLMs become central to interactive applications, ranging from tutoring to mental health, the ability to express personality in culturally appropriate ways is increasingly import…
Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Cultural Intelligence with CQ-Bench
Ziyi Liu, Priyanka Dey, Jen-tse Huang +6
Cultural Intelligence (CQ) refers to the ability to understand unfamiliar cultural contexts, a crucial skill for large language models (LLMs) to effectively engage with globally di…
VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models
Jen-tse Huang, Jiantong Qin, Jianping Zhang +3
This research investigates both explicit and implicit social biases exhibited by Vision-Language Models (VLMs). The key distinction between these bias types lies in the level of aw…
AI Sees Your Location, But With A Bias Toward The Wealthy World
Jingyuan Huang, Jen-tse Huang, Ziyi Liu +3
Visual-Language Models (VLMs) have shown remarkable performance across various tasks, particularly in recognizing geographic information from images. However, VLMs still show regio…