Papers by Dilara Soylu
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together (2024.emnlp-main)
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| Challenge: | Recent work shows the potential of building more powerful Natural Language Processing systems by composing multiple skills of LMs into pipelines. |
| Approach: | They propose to combine weight and prompt optimization strategies to optimize a modular LM pipeline. |
| Outcome: | The proposed strategies outperform optimizing weights and prompts alone by 60% and 6% on average across LMs and tasks. |