Across four domain-model settings on tau-Bench, geometry-conditioned adaptive reasoning triggers raise average task reward from 0.241 (24.1%) under Never-thinking to 0.396 (39.6%) while reducing mean token cost from 104.8k to 93.0k, an 11.2% reduction.
Source: paper:Page 6, Section 6, Paragraph 'Geometry-conditioned triggers combine token efficiency with competitive reward'
Reported and observed measurements
average_task_reward
meas-headline-reward-never-think
Reported 0.241 fraction
Observed — fraction
average_task_reward
meas-headline-reward-geometry-conditioned
Reported 0.396 fraction
Observed — fraction
mean_token_cost_thousands
meas-headline-token-cost-never-think
Reported 104.8 thousands_tokens
Observed — thousands_tokens
mean_token_cost_thousands
meas-headline-token-cost-geometry-conditioned
Reported 93 thousands_tokens
Observed — thousands_tokens
token_cost_reduction
meas-headline-token-cost-reduction
Reported 11.2 percentage_points
Observed — percentage_points
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