Exposure is Optional: Learning Unlike Coordination in Language Models

In 30 Sekunden

Was passiert ist

Researchers show GPT-2 models learn to handle unlike coordination without training examples, using only exposure to standard coordination patterns.

Warum es zählt

Matters for engineers building language models and studying how compositional abilities generalize beyond training data.

Achtung

Study uses filtered GPT-2 on limited scope; results may not generalize to larger models, other languages, or more complex linguistic phenomena.