AI Agent Papers2026
Yuling Shi, Zhensu Sun +4Shanghai Jiao Tong University, Shanghai, China, Singapore Management University, Singapore +2
Predicts an LLM agent's final success or failure from partial execution traces and halts runs when outcomes are confident to save per-task compute. Uses LightGBM success/failure classifiers on behavioral, textual, and reference features; cuts 13–26% steps and up to 44% input tokens on benchmarks.