LLM

Visual Distraction Undermines Moral Reasoning in Vision-Language Models

Moral reasoning is fundamental to safe Artificial Intelligence (AI), yet ensuring its consistency across modalities becomes critical as …

Xinyi Yang, Chenheng Xu, Weijun Hong, Ce Mo, Qian Wang, Fang Fang, Yixin Zhu

Code over Words: Overcoming Semantic Inertia via Code-Grounded Reasoning

LLMs struggle with Semantic Inertia: the inability to inhibit pre-trained priors (e.g., “Lava is Dangerous”) when dynamic, in-context …

Manjie Xu, Isabella Yin, Xinyi Tu, Chi Zhang, Yixin Zhu

Code over Words: Overcoming Semantic Inertia via Code-Grounded Reasoning

[CHI26] NarrativeLoom: Enhancing Creative Storytelling through Multi-Persona Collaborative Improvisation

Large Language Models show promise for AI-assisted storytelling, yet current tools often generate predictable, unoriginal narratives. …

Yuxi Ma, Yongqian Peng, Fengyuan Yang, Siyu Zha, Chi Zhang, Zixia Jia, Zilong Zheng, Yixin Zhu

Cross-Scenario Unified Modeling of User Interests at Billion Scale

User interests on content platforms are inherently diverse, manifesting through complex behavioral patterns across heterogeneous …

Manjie Xu, Xin Jia, Cheng Chen, Jingyi Zhou, Chi Zhang, Yongji Wu, Zejian Wang, Kai Zuo, Yibo Chen, Xu Tang, Yao Hu, Yixin Zhu

Cross-Scenario Unified Modeling of User Interests at Billion Scale

[NeurIPS23] Evaluating and Inducing Personality in Pre-trained Language Models

Standardized and quantified evaluation of machine behaviors is a crux of understanding LLMs. In this study, we draw inspiration from …

Guangyuan Jiang, Manjie Xu, Song-Chun Zhu, Wenjuan Han, Chi Zhang, Yixin Zhu

[NeurIPS23] Evaluating and Inducing Personality in Pre-trained Language Models