Unverified50% confidenceBenchmarkExact time
在 GSM8K 等数学基准上,PAL 和 PoT 相比纯思维链可将准确率提升 10-20 个百分点
1
Sources
50%
Confidence
Long-term
Relevance
7/6/2026
First Seen
Sources
Fixing the Three Big Weaknesses of LLMs: Knowledge, Computation, and Tool Use
bilibili晴天AI实战7/4/2026
Related Claims
UnverifiedSelf-Consistency can bring improvements of 5–20 percentage points on mathematical reasoning benchmarks such as GSM8K.80% similarUnverifiedOn the GSM8K mathematical reasoning benchmark, Self-Consistency can improve accuracy by approximately 17 percentage points compared to single greedy decoding.71% similarUnverifiedThe Self-Consistency method, proposed by Xuezhi Wang and others, improved accuracy by more than 10% on mathematical reasoning benchmarks such as GSM8K.68% similarUnverifiedMeta、NVIDIA等公司的研究表明RAG在知识密集型任务上的准确率比纯参数记忆提高20%-40%66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/112743API
curl https://kongchang.com/api/v1/knowledge/claims/112743MCP
get_claim(id=112743)