Papers with fine small-scale language models

1 papers
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements (2023.findings-emnlp)

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Challenge: Empathetic dialogue is an essential part of building harmonious social relationships and contributes to the development of a helpful AI.
Approach: They propose three methods to improve the performance of large language models (LLMs) they propose semantically similar in-context learning, two-stage interactive generation and combination with the knowledge base.
Outcome: The proposed methods achieve state-of-the-art in automatic and human evaluations and the possibility of GPT-4 simulating human evaluators.

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