**CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output

**CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression**

> "Talk short. Drop grammar. Save token." This caveman style is widely promoted as a way to cut inference cost, but whether it actually saves anything depends on which channel (the user's prompt or the model's response) is being compressed. We present Cavewoman, a two-channel evaluation protocol that scores every generation on task accuracy, realized per-item cost, and reference-text agreement against the model's uncon...

**来源信息**
- **来源**：HuggingFace Daily Papers（社区热门论文）
- **分类**：论文
- **发布时间**：2026-06-25 08:00（北京时间）
- **原文**：[打开原文](https://huggingface.co/papers/2606.24083)