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Zhong-Xing Xu

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Do No Harm: Exposing Hidden Vulnerabilities of LLMs via Persona-based Client Simulation Attack in Psychological Counseling

This work introduces Personality-based Client Simulation Attack (PCSA), the first red-teaming framework that simulates clients in psychological counseling through coherent, persona-driven client dialogues to expose vulnerabilities in psychological safety alignment.

Qing-Yang Xu, Ya-Ling Shen, Stephanie Fong et al. · 4 citations
#natural language process... Preprint Sep 2026

SDARE-Bench: Evaluating Large Language Models on Conversational Stigma Detection and Response in Dyadic and Group Dialogue

SDARE-Bench is introduced, the first scenario-based benchmark evaluating both stigma detection and open-ended response generation in LLMs, comprising 1,138 dyadic queries and 1,388 group dialogue and identifies stigma response as a recurring LLM safety vulnerability, especially in socially complex conversational contex...

Stephanie Fong, Yi-Wen Jiang, Zi-Mu Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

VIBE-Bench: Evaluating Personalized Large Language Models When Profiles Don't Mean Preferences

VIBE-Bench is introduced, a benchmark with two psychology-grounded tasks, 3,504 personas and 12,239 dialogues, including a manually verified gold test set, and requires cross-concept preference reasoning beyond surface semantic overlap, establishing PRCM as a distinct failure regime in PLLMs and position VIBE-Bench as...

Yi-Wen Jiang, Yang Deng, Stephanie Fong et al. · 0 citations

Seeing Through the Shift: Causality-Inspired Robust Generalized Category Discovery

This work proposes CausalGCD, a causality-inspired framework designed to mitigate domain-shift bias in category discovery and proposes a Causal Geometric Manifold Constraint that enforces invariant manifold-level associations between known and unknown categories across domains, thereby facilitating robust discovery of...

Wei Feng, Yi-Wen Jiang, Sijin Zhou et al. · 1 citation

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