On tau-Bench Airline with Qwen3-14B, trigger policies yield task rewards of 0.196 (Never-think), 0.348 (Warm-up), 0.356 (Always-think), 0.392 (Variance slope beta_t > tau_beta), 0.384 (Temporal curvature kappa_t < -0.15), and 0.420 (Learned-HST), with mean token costs in thousands of 82.5, 87.1, 83.5, 83.3, 78.9, and 85.0 respectively.

On tau-Bench Airline with Qwen3-14B, trigger policies yield task rewards of 0.196 (Never-think), 0.348 (Warm-up), 0.356 (Always-think), 0.392 (Variance slope beta_t > tau_beta), 0.384 (Temporal curvature kappa_t < -0.15), and 0.420 (Learned-HST), with mean token costs in thousands of 82.5, 87.1, 83.5, 83.3, 78.9, and 85.0 respectively. · CiteArk

测量结果

已评估 0/18 项

获得支持 0有争议或冲突 0尚未评估 18

保留同一结论下的完整结果组。已有评估排在前面；单项判断不替代整组结论。展开行查看条件、来源与历次证据。

每行是一项测量，分别显示论文报告、最近可用实测和累计证据状态。
指标与条件	论文报告	最近可用实测	证据判断
model: Qwen3-14B · domain: Airline · policy: Never-think	0.196 fraction	—	尚未评估
model: Qwen3-14B · domain: Airline · policy: Warm-up	0.348 fraction	—	尚未评估
model: Qwen3-14B · domain: Airline · policy: Always-think	0.356 fraction	—	尚未评估
model: Qwen3-14B · domain: Airline · policy: Variance-slope	0.392 fraction	—	尚未评估
model: Qwen3-14B · domain: Airline · policy: Temporal-curvature · threshold: -0.15	0.384 fraction	—	尚未评估
model: Qwen3-14B · domain: Airline · policy: Learned-HST	0.42 fraction	—	尚未评估
model: Qwen3-14B · domain: Airline · policy: Never-think	82.5 thousands_tokens	—	尚未评估
model: Qwen3-14B · domain: Airline · policy: Warm-up	87.1 thousands_tokens	—	尚未评估
model: Qwen3-14B · domain: Airline · policy: Always-think	83.5 thousands_tokens	—	尚未评估
model: Qwen3-14B · domain: Airline · policy: Variance-slope	83.3 thousands_tokens	—	尚未评估
model: Qwen3-14B · domain: Airline · policy: Temporal-curvature · threshold: -0.15	78.9 thousands_tokens	—	尚未评估
model: Qwen3-14B · domain: Airline · policy: Learned-HST	85 thousands_tokens	—	尚未评估

报告指标与观测值

Assessment（0）

关联运行（0）

测量结果