Expired80% confidenceFactTime unknown
In a paper analysis test, GPT-OSS 120B successfully retrieved key information such as the number of Transformer layers and identified a possible typographical error in the paper, while 20B failed to provide a response.
1
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
6/1/2026
First Seen
Valid until: 8/30/2026(expired)
Sources
Related Entities
Related Claims
Unverified2024年一项研究对GPT-4在Temperature=0下的代码生成任务进行100次测试，发现约8%的测试用例存在跨次运行的输出差异65% similarUnverifiedGPT models perform poorly when recall ability is tested in isolation, correctly recalling only about 50% of facts across all categories including spatial information, transcription content, and physical experiments, with open-source models performing even worse.64% similarUnverifiedIn vertical domains such as industrial defect detection and pathology slide analysis, the zero-shot detection accuracy of large models such as GPT-4V and Gemini lags behind specialized models by 20–40 percentage points on the mAP metric.64% similarUnverifiedCompared to GPT-5.2, GPT-5.4 reduces the probability of an individual statement being incorrect by 33% and the probability of an entire response containing any error by 18%.63% similarUnverified一项针对GPT-4的研究显示，对MMLU题目进行语义等价改写后，模型准确率在部分子集上下降超过10个百分点63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/23229API
curl https://kongchang.com/api/v1/knowledge/claims/23229MCP
get_claim(id=23229)