Papers by Sue Black
Self-Regulated Sample Diversity in Large Language Models (2024.findings-naacl)
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Mingyue Liu, Jonathan Frawley, Sarah Wyer, Hubert P. H. Shum, Sara Uckelman, Sue Black, Chris Willcocks
| Challenge: | Existing methods that require expensive setups or maintain static values during inference are inflexible and require expensive training. |
| Approach: | They propose a self-regulating approach that adjusts sample diversity parameters dynamically based on the input prompt. |
| Outcome: | The proposed method significantly improves the quality of responses generically without model retraining or fine-tuning. |