activity
20242026
most citedBIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2026

An Investigation of the NeurIPS and ICML 2025 Position Tracks

Fan Yang, Wenkai Li, Jun Liu

ML venues shape what kinds of research claims become legible to reviewers and what forms of evidence count as rigorous. The NeurIPS and ICML Position Paper Tracks were created for…

cs.AI2026

Interactive Evaluation Requires a Design Science

Keyang Xuan, Peiyang Song, Pan Lu +10

AI evaluation is undergoing a structural change. Large language models (LLMs) are increasingly deployed as systems that act over time through tools, environments, users, and other…

cs.AI2026

When Reasoning Traces Become Performative: Step-Level Evidence that Chain-of-Thought Is an Imperfect Oversight Channel

Wenkai Li, Fan Yang, Ananya Hazarika +2

Chain-of-thought (CoT) traces are increasingly used both to improve language model capability and to audit model behavior, implicitly assuming that the visible trace remains synchr…

cs.AI2025

1-2-3 Check: Enhancing Contextual Privacy in LLM via Multi-Agent Reasoning

Wenkai Li, Liwen Sun, Zhenxiang Guan +2

Addressing contextual privacy concerns remains challenging in interactive settings where large language models (LLMs) process information from multiple sources (e.g., summarizing m…

cs.CL2024★ 4 cited

BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data

Wenkai Li, Jiarui Liu, Andy Liu +3

In this work, we tackle the challenge of embedding realistic human personality traits into LLMs. Previous approaches have primarily focused on prompt-based methods that describe th…