Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations (2023.emnlp-main)
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| Challenge: | Large language models (LLMs) can be expensive to train, deploy, and use for specific natural language generation tasks. |
| Approach: | They propose a method to distill ChatGPT and fine-tune smaller LMs for summarizing forum conversations using a semantic similarity metric. |
| Outcome: | The proposed method leads to significant improvements of up to 6.6 ROUGE-2 score by leveraging sufficient in-domain pseudo-labeled data over standard KD approach given the same size of training data. |
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