Unverified50% confidenceFactExact time
The GPT-4 technical report was criticized by the research community for omitting training data scale, model parameter count, and architectural details, and has been cited as a case of opacity
1
Sources
50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedOpenAI在GPT-4技术报告中已隐晦提及模型参与自身评估流程78% similarUnverifiedIn 2023, researchers pointed out that GPT-4's technical report lacked adequate acknowledgment of key technical contributors and prior work.74% similarVerifiedMultiple academic studies have shown that a considerable proportion of the high scores achieved by mainstream models such as GPT-4 and LLaMA on leaderboards including MMLU, HumanEval, and GSM8K stem from overlap between training set and test set content.73% similarUnverified教程中"GPT 5.6"、"最强绘图模型"等表述缺乏OpenAI官方来源佐证72% similarUnverifiedA 2023 study found that GPT-4 produced errors in approximately 15–20% of cases when generating code documentation.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/972207API
curl https://kongchang.com/api/v1/knowledge/claims/972207MCP
get_claim(id=972207)