新闻
Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- LLMs systematically overuse epanorthosis, a classical self-correction rhetorical figure, driven by training data and preference tuning rather than generation mechanics.
- 为何重要
- Matters for engineers building or fine-tuning language models who want output matching human rhetorical patterns across different writing genres and registers.
- 注意
- The paper measures only one model family; mitigation techniques like LoRA adapters and instruction tuning show promise but require genre-specific calibration rather than outright elimination.
- language model
这条新闻背后的模式
- Privilege Compromise Mitigation Pattern
- Agentic Context Engineering (Evolving Playbook)
- Reinforcement Learning from Human Feedback
每个模式都讲清楚技术如何运作、何时值得投入，以及在哪里会失效。
The Agent Architect
每周一个模式、一个权衡、一个生产事故案例。为构建智能体系统的人准备的每周简报。
每周一封邮件,一键退订。您的地址仅用于发送简报。