Author

Zeyu Li

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Preprint Oct 2026

Who Takes the Lead? Model Ability and Task-Conditioned Collaboration with Humans

As language-model agents grow more capable, they can carry more of a task without asking anyone for help. Falling reliance on a human partner is easy to read as a failure of collaboration when it may instead be a correct division of labor, and the rate of human involvement alone cannot tell the two apart. We study this...

Wei-En Li, Hao-Chen Liu, Ze-Yu Li et al. · 0 citations

Jul 2026

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation

This work introduces a unified conceptual framework that views discrete diffusion models through the construction of the underlying discrete state space, and exposes common design trade-offs across training objectives, inference algorithms, scaling behavior, systems optimization, and evaluation protocols.

Ye Yuan, Wei-En Li, Rui Song et al. · arXiv.org · 0 citations

#artificial intelligence May 2026

QUACK: Questioning, Understanding, and Auditing Communicated Knowledge in Multimodal Social Deduction Agents

Evaluating three frontier VLMs in both homogeneous and cross-model adversarial settings, it is found that even the strongest agent hallucinates 15.1% of its verifiable spatial claims and 11.5% of accusations are strictly unsupported.

Ye Yuan, Ruiqi Song, Wei-En Li et al. · arXiv.org · 2 citations