2 papers
cs.LG2026
Recoverability Has a Law: The ERR Measure for Tool-Augmented Agents
Sri Vatsa Vuddanti, Satwik Kumar Chittiprolu
Language model agents often appear capable of self-recovery after failing tool call executions, yet this behavior lacks a formal explanation. We present a predictive theory that re…
cs.LG2025
PALADIN: Self-Correcting Language Model Agents to Cure Tool-Failure Cases
Sri Vatsa Vuddanti, Aarav Shah, Satwik Kumar Chittiprolu +4
Tool-augmented language agents frequently fail in real-world deployment due to tool malfunctions--timeouts, API exceptions, or inconsistent outputs--triggering cascading reasoning…