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Found 7 papers, 4 papers with code
Soda-Eval: Open-Domain Dialogue Evaluation in the age of LLMs
Although human evaluation remains the gold standard for open-domain dialogue evaluation, the growing popularity of automated evaluation using Large Language Models (LLMs) has also extended to dialogue.
ECoh: Turn-level Coherence Evaluation for Multilingual Dialogues
Motivated by the need for lightweight, open source, and multilingual dialogue evaluators, this paper introduces GenResCoh (Generated Responses targeting Coherence).
On the Benchmarking of LLMs for Open-Domain Dialogue Evaluation
Large Language Models (LLMs) have showcased remarkable capabilities in various Natural Language Processing tasks.
Dialogue Quality and Emotion Annotations for Customer Support Conversations
Task-oriented conversational datasets often lack topic variability and linguistic diversity.
Simple LLM Prompting is State-of-the-Art for Robust and Multilingual Dialogue Evaluation
Despite significant research effort in the development of automatic dialogue evaluation metrics, little thought is given to evaluating dialogues other than in English.
Towards Multilingual Automatic Dialogue Evaluation
The main limiting factor in the development of robust multilingual dialogue evaluation metrics is the lack of multilingual data and the limited availability of open sourced multilingual dialogue systems.
Using Self-Supervised Feature Extractors with Attention for Automatic COVID-19 Detection from Speech
Experimental results demonstrate that models trained on features extracted from self-supervised models perform similarly or outperform fully-supervised models and models based on handcrafted features.
