Unverified50% confidenceSolutionExact time
Qwen-Audio-Jev adopts a 'separation of understanding and decision-making' design, so that the backbone model does not need retraining and only a small number of parameters need to be added at the output end to support new decision types.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedDecision models train any text or vision LLM via QLoRA and output a confidence score for each candidate option.71% similarUnverifiedIn the study, the governed mode uses the Qwen3-8B model solely for interpreting user intent, with analytical procedure execution delegated to a deterministic policy engine.67% similarUnverifiedQwen3采用四阶段训练流程,在后期专门针对混合推理能力进行对齐微调66% similarUnverifiedPure reasoning models tend to produce unstable formatting when generating structured tool-calling instructions, and Qwen3's hybrid training has resolved this issue.66% similarUnverifiedUnsloth's decision model solution uses QLoRA to fine-tune any text or vision LLM, training a model with a decision head; training, testing, exporting, and deployment can all be completed within Unsloth.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1047466API
curl https://kongchang.com/api/v1/knowledge/claims/1047466MCP
get_claim(id=1047466)