collaborators

15 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

Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search

Mingyue Wang, Xingyu Xie, Hang Yang +5

Understanding how events evolve over time is essential for search engines handling queries about trending news. We present QDET (Query-Driven Event Timeline Summarization), a produ…

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.AI2026

Does LLM Alignment Really Need Diversity? An Empirical Study of Adapting RLVR Methods for Moral Reasoning

Zhaowei Zhang, Xiaohan Liu, Xuekai Zhu +6

Reinforcement learning with verifiable rewards (RLVR) has achieved remarkable success in logical reasoning tasks, yet whether large language model (LLM) alignment requires fundamen…

cs.CY2026

AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference

Jing Yao, Shitong Duan, Xiaoyuan Yi +6

Assessing Large Language Models'(LLMs) underlying value differences enables comprehensive comparison of their misalignment, cultural adaptability, and biases. Nevertheless, current…