新闻
Exposure is Optional: Learning Unlike Coordination in Language Models
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers show GPT-2 models learn to handle unlike coordination without training examples, using only exposure to standard coordination patterns.
- 为何重要
- Matters for engineers building language models and studying how compositional abilities generalize beyond training data.
- 注意
- Study uses filtered GPT-2 on limited scope; results may not generalize to larger models, other languages, or more complex linguistic phenomena.
- language model
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