Unverified50% confidenceFactExact time
Using thinking mode during function calling delivers a 13 percentage point accuracy improvement on a 100-point scale.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/29/2026
First Seen
Valid until: 1/27/2027
Sources
Android ML Kit On-Device AI: Performance Optimization and Quality Breakthroughs
youtubeAndroid Developers10/29/2026
Related Entities
Related Claims
UnverifiedIn the configuration using ten policy snapshots, using only 8 prompts achieved an average accuracy of 24.09%, approaching the 24.51% achieved with 14,080 prompts.73% similarUnverifiedAmong the 12 model × task combinations, only gpt-5.4-mini showed a statistically significant accuracy improvement on the logical reasoning task: jumping from 15% to 97.5%, with p=0.00056 after Holm correction.72% similarUnverified研究数据表明，在数学竞赛级别问题上，启用深度推理的模型准确率可从不足30%提升至80%以上72% similarUnverifiedThe paper reports that hybrid reasoning agents achieve accuracy about 10 percentage points higher than conventional models on multiple test sets.72% similarUnverifiedIn the experiment, unit completion accuracy increased from 72.4% to 84.9%, a gain of 12.5 percentage points.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1112925API
curl https://kongchang.com/api/v1/knowledge/claims/1112925MCP
get_claim(id=1112925)