新闻
RetroThinker: Enabling Retrospective Thinking in Speech LLMs
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- RetroThinker enables speech LLMs to revise their reasoning steps during inference, improving accuracy by 11% on math problems while maintaining low latency.
- 为何重要
- Matters for engineers building real-time voice assistants that need strong reasoning without sacrificing response speed or paralinguistic information.
- 注意
- Evaluation limited to GSM8K math benchmark; unclear how well retrospective thinking generalizes to other reasoning tasks or real-world conversational scenarios.
- llm
- language model
- reasoning
- latency
- speech
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