2 papers
cs.AI2026
EviSeek: An Evidence-Centric Agentic Framework for Embodied Active Information Seeking
Jintao Li, Zhiyong Cao, Baihua Xiao +2
Active embodied question answering requires agents to acquire evidence through viewpoint changes and physical interaction. The central challenge is to avoid undirected interaction:…
cs.AI2026
Trial by Trace: Benchmarking AI Agent Harnesses for Reliability and Failure Attribution
Zhiyong Cao, Hengjie Zhu, Yongxin Wang +20
LLM agents are increasingly used to solve real-world problems, and their effectiveness depends on both the underlying models and the harnesses that support their operation. However…