works on

From the 1 of 14 linked papers with an AI index.

collaborators
Showing cs.CLShow all

11 papers · 1 filter

cs.CL2026

ProACT: Towards Breakdown-Aware Proactive Agent in Multi-User Collaboration

Shu Yang, Difei Xu, Jiaxin Pei +1

Conversational agents are increasingly embedded in human collaborative work, yet they remain fundamentally passive and reactive: they respond to explicit user requests rather than…

cs.CL2026

SelfMem: Self-Optimizing Memory for AI Agents

Shu Yang, Junchao Wu, Derek F. Wong +1

While current AI agents support increasingly long context windows, tool use, and skill execution for long-horizon tasks, they still require memory systems to effectively leverage h…

cs.CL2026

Multi-User Large Language Model Agents

Shu Yang, Shenzhe Zhu, Hao Zhu +5

Large language models (LLMs) and LLM-based agents are increasingly deployed as assistants in planning and decision making, yet most existing systems are implicitly optimized for a…

cs.CL2026

Hierarchical Alignment: Enforcing Hierarchical Instruction-Following in LLMs through Logical Consistency

Shu Yang, Zihao Zhou, Di Wang +1

Large language models increasingly operate under multiple instructions from heterogeneous sources with different authority levels, including system policies, user requests, tool ou…

cs.CL2026

Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation

Tong Li, Shu Yang, Junchao Wu +6

We present a comprehensive evaluation framework for assessing Large Language Models' (LLMs) capabilities in suicide prevention, focusing on two critical aspects: the Identification…

cs.CL2025

Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models

Jiayi Zhang, Shu Yang, Junchao Wu +2

Fine-tuning Large Language Models on a political topic will significantly manipulate their political stance on various issues and unintentionally affect their stance on unrelated t…