3 papers
cs.AI2026
DART: Semantic Recoverability for Structured Tool Agents
Ke Yang, Panpan Li, Zonghan Wu +3
When a structured tool agent fails mid-execution, the runtime faces a dilemma: replaying the entire task is safe but wasteful, while restoring from a local checkpoint is efficient…
cs.CL2026
Code as Agent Harness
Xuying Ning, Katherine Tieu, Dongqi Fu +39
Recent large language models (LLMs) have demonstrated strong capabilities in understanding and generating code, from competitive programming to repository-level software engineerin…
cs.HC2026
Balancing Teacher and Student Agency: Co-Orchestration Tool Design Supporting Real-Time Dynamic Pairing
Kexin Bella Yang, Menghan Liu, Liyi Xu +2
In human-AI interaction, respecting user agency is essential for fostering trust and sustaining effective use of technology. In educational settings, dynamically integrating indivi…