Agentic AI assistants increasingly act on developers'behalf by modifying files, executing commands, and accessing external resources. These actions often require permission, yet little is known about how practitioners make permission decisions while still benefiting from agent autonomy. To address this gap, we conducte...
Larissa Salerno, Haoyu Gao, Gregory Gay et al.· 0 citations
This study proposes local Platt-scaling applied separately to three different fine-grained confidence scores, finding that fine-grained confidence scores consistently achieve lower calibration error across a broader range of probability intervals, and this effect is further amplified when global Platt-scaling is applie...
Results show that organizing solver feedback into generation, verification, and repair roles enables more scalable and faithful annotation-free symbolic planning.
Cheng-Hao Zhang, Yi-Kai Mao, Hao-Yu Gao et al.· 0 citations
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