Verified65% confidenceFactExact time
InstructGPT in 2022 first systematically validated the effectiveness of RLHF in improving models' instruction-following capabilities.
3
Sources
65%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
UnverifiedInstructGPT论文于2022年将RLHF带入公众视野73% similarUnverifiedRLHF的技术根源可追溯至2017年OpenAI与DeepMind的早期探索，2022年InstructGPT论文的发表引发行业转型66% similarUnverified2022-2023 年间「大模型+工具调用」的可行性被相继验证66% similarUnverifiedZhipu AI is the developer of the GLM series of models and received recognition in this investigation for its rapid API updates.64% similarUnverifiedGLM 5.2引入了多令牌预测（MTP）技术，该技术由Meta在2024年研究中提出，可通过投机解码提升推理速度63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/572589API
curl https://kongchang.com/api/v1/knowledge/claims/572589MCP
get_claim(id=572589)