Papers with robust and non-robust response embeddings

1 papers
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation (2024.findings-acl)

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Challenge: Existing approaches to evaluate open domain dialogues have a one-to-many problem . existing approaches lack commonsense reasoning biases and perform poorly in domain-specific scenarios.
Approach: They propose a framework that leverages both a small, specialised model and LLMs for the evaluation of open-domain dialogues.
Outcome: The proposed framework achieves state-of-the-art performance in both classification and evaluation tasks and exhibits better correlation with human judgements.

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