
Combining domain-specific language models with AMR graph information and large language models can improve the robustness of open-domain dialogue evaluation, especially for discriminating adversarial negative responses.


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incorporating-abstract-meaning-representation-into-large-language-models-for-robust-open-domain-dialogue-evaluation


Incorporating Abstract Meaning Representation into Large Language Models for Robust Open-Domain Dialogue Evaluation


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A novel dialogue evaluation metric, PAIREVAL, assesses responses by comparing their quality against a limited number of comparison responses, outperforming previous evaluation metrics.


pairwise-comparison-approach-improves-open-domain-dialogue-evaluation


Pairwise Comparison Approach Improves Open-Domain Dialogue Evaluation
