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Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues

AAAI 2023 · Large language models › Language, safety and interpretability · approach: Faithfulness of LLM explanations · 23 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use entailment relation memory (ERM) (ablation)LMEDR · PersonaChat originalC.Score: 22.09 -> 25.31Helped
Use entailment relation memory (ERM) (ablation)LMEDR · DSTC7-AVSDCIDEr: 1.395 -> 1.403Helped
Use dialogue discourse memory (DDM) (ablation)LMEDR · PersonaChat originalBLEU-4: 0.01406 -> 0.01561Helped
Use dialogue discourse memory (DDM) (ablation)LMEDR · DSTC7-AVSDBLEU-4: 0.482 -> 0.488Helped
Impose an orthogonal constraint between latent memories (ablation)LMEDR · PersonaChat originalHits@1: 88.8 -> 89.5Helped
Impose an orthogonal constraint between latent memories (ablation)LMEDR · DSTC7-AVSDBLEU-1: 0.782 -> 0.801Helped
Use LMEDR instead of P^2BOTPersonaChat original · PersonaChat originalHits@1: 81.9 -> 89.5Helped
Use LMEDR instead of DialogVEDDSTC7-AVSD · DSTC7-AVSDCIDEr: 1.391 -> 1.403Helped
Use LMEDR instead of DialogVEDDSTC7-AVSD · DSTC7-AVSDROUGE-L: 0.636 -> 0.631Hurt
Use LMEDR instead of DialogVEDDSTC7-AVSD · DSTC7-AVSDBLEU-4: 0.489 -> 0.488Hurt
Increase the number of interference responses to 14LMEDR response selection · PersonaChat originalHits@1: 89.5(90.1)Helped

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