On tau-Bench Retail with Qwen3-14B, trigger policies yield task rewards of 0.286 (Never-think), 0.361 (Warm-up), 0.307 (Always-think), 0.393 (Variance slope beta_t > tau_beta), 0.397 (Temporal curvature kappa_t < -0.20), and 0.398 (Learned-HST), with mean token costs in thousands of 112.6, 111.1, 113.1, 104.3, 101.0, and 104.4 respectively.

On tau-Bench Retail with Qwen3-14B, trigger policies yield task rewards of 0.286 (Never-think), 0.361 (Warm-up), 0.307 (Always-think), 0.393 (Variance slope beta_t > tau_beta), 0.397 (Temporal curvature kappa_t < -0.20), and 0.398 (Learned-HST), with mean token costs in thousands of 112.6, 111.1, 113.1, 104.3, 101.0, and 104.4 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: Retail · policy: Never-think	0.286 fraction	—	尚未评估
model: Qwen3-14B · domain: Retail · policy: Warm-up	0.361 fraction	—	尚未评估
model: Qwen3-14B · domain: Retail · policy: Always-think	0.307 fraction	—	尚未评估
model: Qwen3-14B · domain: Retail · policy: Variance-slope	0.393 fraction	—	尚未评估
model: Qwen3-14B · domain: Retail · policy: Temporal-curvature · threshold: -0.2	0.397 fraction	—	尚未评估
model: Qwen3-14B · domain: Retail · policy: Learned-HST	0.398 fraction	—	尚未评估
model: Qwen3-14B · domain: Retail · policy: Never-think	112.6 thousands_tokens	—	尚未评估
model: Qwen3-14B · domain: Retail · policy: Warm-up	111.1 thousands_tokens	—	尚未评估
model: Qwen3-14B · domain: Retail · policy: Always-think	113.1 thousands_tokens	—	尚未评估
model: Qwen3-14B · domain: Retail · policy: Variance-slope	104.3 thousands_tokens	—	尚未评估
model: Qwen3-14B · domain: Retail · policy: Temporal-curvature · threshold: -0.2	101 thousands_tokens	—	尚未评估
model: Qwen3-14B · domain: Retail · policy: Learned-HST	104.4 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