collaborators

5 papers

cs.AI2026

Who Speaks, Who Authorizes, Who Acts? Understanding Trust Boundaries in Multi-Agent LLMs

Junru Zhu, Xin Chen, Hang Lyu +6

Multi-agent LLM systems exchange messages before acting through tools, but message delivery, signing authority, and tool-side enforcement are separate trust boundaries. We represen…

cs.CY2026

Position: Anthropomorphic Misalignment Research Needs Stronger Evidence

Vansh Gupta, Peter Nutter, Samuel Stante +5

We argue that many Anthropomorphic Misalignment Research (AMR) studies need stronger evidence to ensure that they can provide a robust foundation for critical safety decisions, suc…

cs.HC2026

In the Middle, Not on Top: AI-Mediated Communication for Patient-Provider Care Relationships

Ut Gong, Yibo Meng, Qihan Zhang +2

Relationship-centered care relies on trust and meaningful connection. As AI enters clinical settings, we must ask not just what it can do, but how it should be positioned to suppor…

cs.AI2025

AI Deception: Risks, Dynamics, and Controls

Boyuan Chen, Sitong Fang, Jiaming Ji +56

As intelligence increases, so does its shadow. AI deception, in which systems induce false beliefs to secure self-beneficial outcomes, has evolved from a speculative concern to an…

cs.AI2025

InsightEval: An Expert-Curated Benchmark for Assessing Insight Discovery in LLM-Driven Data Agents

Zhenghao Zhu, Yuanfeng Song, Xin Chen +5

Data analysis has become an indispensable part of scientific research. To discover the latent knowledge and insights hidden within massive datasets, we need to perform deep explora…