Unverified50% confidenceBenchmarkExact time
On memory-intensive robotic manipulation benchmarks, the method achieved a 13.9% average absolute improvement in success rate over the strongest baseline across 23 tasks.
1
Sources
50%
Confidence
Long-term
Relevance
10/9/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedResearch shows that, for the same task, an optimized prompt can improve model output quality by 30%–50% compared to arbitrary input.69% similarUnverifiedWhen the coding agent no longer generates its own tests, the task success rate improves, overall speed increases by approximately 6%, and costs decrease by approximately 9%.69% similarUnverifiedRoboDojo具身智能测评显示，最强模型得分仅12.8分（人类基准为100分），仿真成功率不足9%，真机成功率12.8%67% similarUnverifiedResearch shows that high-quality prompts can bring a 20%–40% improvement in task completion rates compared to casually written prompts under the same model conditions.66% similarUnverifiedExperiments by the Long-Term team showed that using the same model with only adjustments to rule constraints and the memory system raised the score from 52.8% to 66.5%, jumping the ranking from Top 30 to Top 5.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/990502API
curl https://kongchang.com/api/v1/knowledge/claims/990502MCP
get_claim(id=990502)