collaborators

7 papers

cs.HC2026

Inflak: A Unified Orchestration Architecture for Human-Agent Interaction

Lin Gao, Li Chen, Jianxun Lian +2

LLM-powered agents increasingly support open-ended activities, yet orchestrating when and how agents interact with humans remains challenging. Existing approaches often provide int…

cs.CL2026

Agensh: Scaling Organizational Intelligence to 1,024 Agents

Zhihao Zhan, Ting Song, Li Dong +4

A multi-agent system can reduce latency on complex tasks by executing work concurrently. Several pioneering harness frameworks support multi-agent systems. However, the scalability…

cs.HC2026

SocialCoach: Personalized Social Skill Learning with Agentic Tutoring and Practice

Tianfu Wang, Max Xiong, Jianxun Lian +9

Social skills such as negotiation and leadership are crucial for personal and professional success in today's interconnected world. However, scalable and effective training remains…

cs.AI2026

PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models

Wenlong Shi, Jianxun Lian, Mingqi Wu +5

Large language models (LLMs) increasingly serve as interactive social agents, yet their ability to maintain coherent and authentic persona-level role-playing remains limited, parti…

cs.AI2026

Reasoning-Aware AIGC Detection via Alignment and Reinforcement

Zhao Wang, Max Xiong, Jianxun Lian +1

The rapid advancement and widespread adoption of Large Language Models (LLMs) have elevated the need for reliable AI-generated content (AIGC) detection, which remains challenging a…

cs.AI2025

Interactive AI NPCs Powered by LLMs: Technical Report for the CPDC Challenge 2025

Yitian Huang, Yuxuan Lei, Jianxun Lian +1

This report presents the solution and results of our team MSRA\_SC in the Commonsense Persona-Grounded Dialogue Challenge (CPDC 2025). We propose a simple yet effective framework t…

cs.CL2025

Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization

Shanlin Zhou, Xinpeng Wang, Jianxun Lian +4

Chinese demonstrates high semantic compactness and rich metaphorical expressiveness, enabling limited text to convey dense meanings while increasing the difficulty of generation an…