Unverified50% confidenceSolutionExact time
Qwen3通过在训练文本中使用<think>特殊token标记来区分推理和对话模式
1
Sources
50%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
UnverifiedQwen3 supports the Soft Prompt approach, where keywords such as "no thinking" are added to the input to switch between Q&A mode and thinking mode.70% similarUnverifiedThe Qwen3 27B multimodal model supports text and image input and allows the thinking (reasoning) mode to be enabled or disabled, whereas the text-only version only supports plain text input and cannot disable the thinking mode.65% similarUnverifiedQwen3.5-Omni采用原生多模态预训练方式，从数据构建阶段就将图像、音频、视频与文本混合编排，与早期'感知模块+语言模型'串联方案有本质区别65% similarUnverified训练LoRA需设置触发词，所有在描述中未明确提及的特征都会被自动关联到触发词上63% similarUnverifiedConversational programming tools like Xiaolongxia are based on Large Language Models (LLMs) and typically comprise three technical layers: a natural language understanding layer, a code generation layer, and an execution layer.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/583663API
curl https://kongchang.com/api/v1/knowledge/claims/583663MCP
get_claim(id=583663)