5 papers
Understanding the Self-Reflection Mechanisms of LLMs through Biased Attitude Associations
Jingshen Zhang, Bo Wang, Boci Yang +4
While the emergent self-reflection capabilities of Large Language Models (LLMs) offer a promising paradigm for autonomous bias mitigation, their internal mechanics remain unclear,…
I CAN Debias: Uncovering and Enhancing Self-debiasing Mechanisms of Social Bias in LLMs
Jingshen Zhang, Bo Wang, Yanlin Fu +5
As LLMs rapidly advance and become increasingly agentic, mitigating social bias and ensuring fairness at scale have become critical challenges. Prior work has shown that LLMs exhib…
Do LLMs Have the Generalization Ability in Conducting Causal Inference?
Chen Wang, Dongming Zhao, Bo Wang +2
In causal inference, generalization capability refers to the ability to conduct causal inference methods on new data to estimate the causal-effect between unknown phenomenon, which…
RoleBreak: Character Hallucination as a Jailbreak Attack in Role-Playing Systems
Yihong Tang, Bo Wang, Xu Wang +5
Role-playing systems powered by large language models (LLMs) have become increasingly influential in emotional communication applications. However, these systems are susceptible to…
MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space
Yihong Tang, Bo Wang, Dongming Zhao +4
Personalized Dialogue Generation (PDG) aims to create coherent responses according to roles or personas. Traditional PDG relies on external role data, which can be scarce and raise…