Unverified50% confidenceFactExact time
The later stages of Qwen3 training made extensive use of outcome-reward-based reinforcement learning.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedQwen3.5 implements a reinforcement learning framework with separated training and inference, capable of supporting a replay system with tens of trillions of tokens.78% similarUnverifiedThe Qwen3 training team adopted a progressive training strategy: first completing simple tasks, then scaling up, introducing multi-task training, and gradually increasing task difficulty.76% similarVerified量化感知训练（QAT）在训练过程中模拟量化误差反向传播，效果通常优于训练后量化（PTQ）67% similarUnverifiedOrnith 是在千问 3.5（Qwen 3.5）基础上进行深度定向强化训练的产物67% similarUnverifiedHY3 introduces improved anti-hallucination techniques, more reliable tool-calling capabilities, and employs higher-quality post-training data and an enhanced reinforcement learning strategy.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/910557API
curl https://kongchang.com/api/v1/knowledge/claims/910557MCP
get_claim(id=910557)