most citedEmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

MedDialBench: Benchmarking LLM Diagnostic Robustness under Parametric Adversarial Patient Behaviors

Xiaotian Luo, Xun Jiang, Jiangcheng Wu

Interactive medical dialogue benchmarks have shown that LLM diagnostic accuracy degrades significantly when interacting with non-cooperative patients, yet existing approaches eithe…

cs.AI2026

ESL-Bench: An Event-Driven Synthetic Longitudinal Benchmark for Health Agents

Chao Li, Cailiang Liu, Ang Gao +7

Longitudinal health agents must reason across multi-source trajectories that combine continuous device streams, sparse clinical exams, and episodic life events - yet evaluating the…

cs.AI20251 cited

On Path to Multimodal Historical Reasoning: HistBench and HistAgent

Jiahao Qiu, Fulian Xiao, Yimin Wang +96

Recent advances in large language models (LLMs) have led to remarkable progress across domains, yet their capabilities in the humanities, particularly history, remain underexplored…

cs.AI2025

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes

Jiahao Qiu, Xinzhe Juan, Yimin Wang +11

While knowledge distillation has become a mature field for compressing large language models (LLMs) into smaller ones by aligning their outputs or internal representations, the dis…

cs.AI2025

Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution

Jiahao Qiu, Xuan Qi, Tongcheng Zhang +15

Recent advances in large language models (LLMs) have enabled agents to autonomously perform complex, open-ended tasks. However, many existing frameworks depend heavily on manually…

cs.AI20252 cited

EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety

Jiahao Qiu, Yinghui He, Xinzhe Juan +7

The rise of LLM-driven AI characters raises safety concerns, particularly for vulnerable human users with psychological disorders. To address these risks, we propose EmoAgent, a mu…