collaborators

25 papers

cs.LG2026

The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment

HyunJin Kim, DongHyun Ryu, Xiaoyuan Yi +6

The emergence of large language models (LLMs) has sparked discussion on Artificial Superintelligence (ASI), a hypothetical AI system that surpasses human intelligence. Although ASI…

cs.CL2026

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook

Jaehyeok Lee, Xiaoyuan Yi, Jing Yao +4

As LLMs are globally deployed, aligning their cultural value orientations is critical for safety and user engagement. However, existing benchmarks face the Construct-Composition-Co…

cs.CL2026

PICACO: Pluralistic In-Context Value Alignment of LLMs via Total Correlation Optimization

Han Jiang, Dongyao Zhu, Xiaoyuan Yi +3

In-Context Learning has shown great potential for aligning Large Language Models (LLMs) with human values, helping reduce harmful outputs and accommodate diverse preferences withou…

cs.AI2026

AI Evaluation Should Require Standardized Item-Level Data Releases

Han Jiang, Susu Zhang, Dongyao Zhu +6

This position paper argues that standardized item-level benchmark data should become the default infrastructure for AI evaluation. Current evaluations suffer from underspecified it…

cs.CY2026

Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment

Bryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi +4

Despite their global prevalence, many Large Language Models (LLMs) are aligned to a monolithic, often Western-centric set of values. This paper investigates the more challenging ta…

cs.CL2026

Human Values Matter: Investigating How Misalignment Shapes Collective Behaviors in LLM Agent Communities

Xiangxu Zhang, Jiamin Wang, Qinlin Zhao +6

As LLMs become increasingly integrated into human society, evaluating their orientations on human values from social science has drawn growing attention. Nevertheless, it is still…