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Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems

NeurIPS 2019 · Large language models › Language, safety and interpretability · approach: Faithfulness of LLM explanations · 76 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add Emotion+Infersent distillationHierarchical dialog models · Interactive human evaluation, Cornell and Redditoverall interactive ratings: F(554,1)=9.016, p=.003Helped
Train on Reddit rather than CornellHierarchical dialog models · Interactive human evaluationoverall interactive ratings: F(554,1)=30.796, p<.001Helped
Use the hybrid metric on self-play trajectoriesDialog model evaluation · Bot-level interactive human quality ratingsPearson correlation: r>.7; previous metrics achieved r<.5Helped
Distill only emotion information instead of both emotion and Infersent (ablation)EI dialog models · Cornell and Reddit automatic metricsembedding metricsMixed
Distill only Infersent semantics instead of both emotion and Infersent (ablation)EI dialog models · Cornell and Reddit automatic metricsembedding metricsMixed
Provide emotion and Infersent embeddings as input without knowledge distillation (ablation)EI dialog models · Cornell and Reddit automatic metricsautomatic metricsHurt
Optimize sentiment or semantic similarity directly in self-playSelf-play dialog trajectories · Self-playdiversityHurt

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