Unverified50% confidenceBenchmarkExact time
Compared with v1.2, v1.5 improves the F0.5 for real spelling errors from 0.882 to 0.963 and the F0.5 for missing words from 0.078 to 0.698; tense errors remain a weak point, with an F0.5 of only 0.119.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
UnverifiedThe parsing defect combined with one incorrect answer key caused gpt-oss's score across five core tasks to shift from 0.62 to 1.00, a shift as large as 0.38.67% similarUnverifiedThe Label-Only method achieves an accuracy of 0.896 and a span F1 of 0.564, with verbatim citation improving from 0.597 before training to 0.729.65% similarUnverifiedMistral Small 4 scored only 0.699 on unit conversion inputs and produced 265 errors that differed from the correct label by exactly a power of ten.65% similarUnverifiedVERGE improved precision from 0.764 to 0.849 and Matthews Correlation Coefficient from 0.681 to 0.73064% similarUnverifiedHARNESSEVO achieved an overall binary success rate of 0.657, compared to 0.642 for both the original harness and flat string evolution.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1009457API
curl https://kongchang.com/api/v1/knowledge/claims/1009457MCP
get_claim(id=1009457)