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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.LG2026

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation

Ye Yuan, Weien Li, Rui Song +19

The paper proposes a unified framework for discrete denoising diffusion models that ties together tokenization, vocabulary design, and generation methods, showing how existing appr…

cs.LG2026

Support-Proximity Augmented Diffusion Estimation for Offline Black-Box Optimization

Yonghan Yang, Ye Yuan, Zipeng Sun +5

Offline black-box optimization aims to discover novel designs with high property scores using only a static dataset, a task fundamentally challenged by the out-of-distribution (OOD…

cs.CL2026

Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization

Weixu Zhang, Ye Yuan, Changjiang Han +7

Large Language Models (LLMs) exhibit strong implicit personalization ability, yet most existing approaches treat this behavior as a black box, relying on prompt engineering or fine…

cs.AI2026

LLM Safety From Within: Detecting Harmful Content with Internal Representations

Difan Jiao, Yilun Liu, Ye Yuan +4

Guard models are widely used to detect harmful content in user prompts and LLM responses. However, state-of-the-art guard models rely solely on terminal-layer representations and o…

cs.NI2026

Beyond Message Passing: A Semantic View of Agent Communication Protocols

Dun Yuan, Fuyuan Lyu, Ye Yuan +11

Agent communication protocols are becoming critical infrastructure for large language model (LLM) systems that must use tools, coordinate with other agents, and operate across hete…