Unverified50% confidenceFactExact time
BLEU measures translation quality by counting the overlap rate of n-grams (usually 1- to 4-grams) between the model output and the reference translation, and imposes a length penalty on overly short outputs; its value ranges from 0 to 100, but it is not a linear scale.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe generator LLM, probe model, and prompt verbosity together contribute less than 10% of the variance.65% similarUnverifiedWord error rate measures the proportion of edit distance between a model's output and the ground-truth transcription, and is the most core accuracy metric.63% similarUnverifiedThe VRAM usage of a VLM is typically 20%–40% higher than that of a text-only LLM of the same parameter scale.63% similarUnverifiedFew-shot提示通过提供2-5个示例让模型理解模式，比纯文字描述准确率通常高出20%-40%63% similarUnverifiedAs the model scales from 8B to 70B, the predictive power of fixed output vector similarity for behavior actually worsens, with a paired mean correlation change of -0.080 (95% confidence interval [-0.127, -0.035]).62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1046805API
curl https://kongchang.com/api/v1/knowledge/claims/1046805MCP
get_claim(id=1046805)