collaborators

6 papers

cs.CR2026

BAIT: Boundary-Guided Disclosure Escalation via Self-Conditioned Reasoning

Xuan Luo, Yue Wang, Geng Tu +2

In this work, we propose BAIT (Boundary-Aware Iterative Trap), a three-step jailbreak framework that approaches malicious goals through internal disclosure. BAIT first asks the mod…

cs.CL2026

Mitigating Provenance-Role Collapse in Long-Term Agents via Typed Memory Representation

Zhengda Jin, Bingbing Wang, Jing Li +2

Long-term memory is essential for persistent LLM agents, yet prevailing architectures store historical interactions as unstructured, flat text. This unconstrained storage induces p…

cs.AI2026

Proactive Memory for Ad-Hoc Recall over Streaming Dialogues

Bingbing Wang, Jing Li, Ruifeng Xu

Real-world dialogue usually unfolds as an infinite stream. It thus requires bounded-state memory mechanisms to operate within an infinite horizon. However, existing read-then-think…

cs.CL2026

PRISM of Opinions: A Persona-Reasoned Multimodal Framework for User-centric Conversational Stance Detection

Bingbing Wang, Zhixin Bai, Zhengda Jin +6

The rapid proliferation of multimodal social media content has driven research in Multimodal Conversational Stance Detection (MCSD), which aims to interpret users' attitudes toward…

cs.CL2026

Evaluating Proactive Risk Awareness of Large Language Models

Xuan Luo, Yubin Chen, Zhiyu Hou +4

As large language models (LLMs) are increasingly embedded in everyday decision-making, their safety responsibilities extend beyond reacting to explicit harmful intent toward antici…

cs.CL2026

AEQ-Bench: Measuring Empathy of Omni-Modal Large Models

Xuan Luo, Lewei Yao, Libo Zhao +6

While the automatic evaluation of omni-modal large models (OLMs) is essential, assessing empathy remains a significant challenge due to its inherent affectivity. To investigate thi…