Papers by Dasom Choi
Length Representations in Large Language Models (2025.findings-emnlp)
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| Challenge: | Large language models (LLMs) have shown remarkable capabilities across various tasks, that are learned from massive amounts of text-based data. |
| Approach: | They propose to scale hidden units within the model to control output sequence length without losing the informativeness of the generated text. |
| Outcome: | The output sequence length is controlled by multiple head attention mechanisms, which can be adjusted in a disentangled manner. |