6 citations · 11 across the 10 of their papers we have counts for
10 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…
Mind vs. Mouth: On Measuring Re-judge Inconsistency of Social Bias in Large Language Models
Yachao Zhao, Bo Wang, Dongming Zhao +4
Recent researches indicate that Pre-trained Large Language Models (LLMs) possess cognitive constructs similar to those observed in humans, prompting researchers to investigate the…
Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona
Yihong Tang, Bo Wang, Miao Fang +4
The personalized dialogue explores the consistent relationship between dialogue generation and personality. Existing personalized dialogue agents model persona profiles from three…
Empathetic Response Generation via Emotion Cause Transition Graph
Yushan Qian, Bo Wang, Ting-En Lin +6
Empathetic dialogue is a human-like behavior that requires the perception of both affective factors (e.g., emotion status) and cognitive factors (e.g., cause of the emotion). Besid…
Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation
Yushan Qian, Bo Wang, Shangzhao Ma +5
Towards human-like dialogue systems, current emotional dialogue approaches jointly model emotion and semantics with a unified neural network. This strategy tends to generate safe r…
Aligning Recommendation and Conversation via Dual Imitation
Jinfeng Zhou, Bo Wang, Minlie Huang +4
Human conversations of recommendation naturally involve the shift of interests which can align the recommendation actions and conversation process to make accurate recommendations…