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cs.AI2026

FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models

Yalun Wu, Junfeng Fang, Jiawei Wang +6

Evaluating large language models (LLMs) in safety-critical, physics-governed environments requires more than accuracy-based metrics, because predictions that are numerically close…

cs.AI2026

EMAS: Stabilizing Multi-Agent System Evolution through Evidence-Guided Revision

Chao Fei, Qingyi Si, Kaihua Liang +3

Many methods for automated multi-agent system design optimize prompts and topologies during an initial design stage and then deploy the resulting system unchanged on subsequent sam…

cs.AI2026

A Self-Evolving Agent for Longitudinal Personal Health Management

Haoran Li, Jiebi Deng, Tong Jin +10

Personal health management unfolds over repeated encounters, yet most health AI systems treat each request in isolation. We developed HealthClaw, an open-source agent architecture…

cs.AI2026

FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents

Yue Pan, Ziheng Zhang, Junxiang Lei +3

Deep research agents decompose open-ended queries into subtasks, retrieve web evidence over multiple rounds, and synthesize long-form reports. This workflow creates a planning-laye…

cs.AI2026

When Agents Evolve, Institutions Follow

Chao Fei, Hongcheng Guo, Yanghua Xiao

Across millennia, complex societies have faced the same coordination problem of how to organize collective action among cognitively bounded and informationally incomplete individua…