Unverified50% confidenceTradeoffExact time
When similarity scores fall in an ambiguous range, relying solely on threshold cutoffs is prone to misjudgment, which is why a large language model is introduced as a judge to perform semantic reasoning.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
Unverified可设计基于语义相似度的早停机制，当连续两轮辩论论点余弦相似度超过阈值时判定收敛并终止，以节约token开销77% similarVerifiedLarge language models carry a hallucination risk in numerical reasoning and may produce errors in scenarios such as aggregate calculations, time-range filtering, or multi-table joins.77% similarUnverifiedForcing small language models to approximate deterministic problems probabilistically sacrifices accuracy and energy consumption, and much of the unreliability in edge small models is avoidable.75% similarUnverifiedAt equivalent parameter scales, diffusion language models typically still lag behind mature autoregressive models in perplexity and downstream task performance.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/987601API
curl https://kongchang.com/api/v1/knowledge/claims/987601MCP
get_claim(id=987601)