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Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents

AAAI 2022 · Multi-agent systems and games › Human-AI and goal-conditioned · approach: Theory-of-mind social reasoning · 51 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the whole dialogue history instead of only the latest user turnBERT mode classifier · FusedChat mode classificationAccuracy: 0.993 -> 0.995Helped
Use a classification-based system instead of a two-in-one generatorFusedChat inter-mode dialogue models · FusedChat ODD-grounded TODsSuccess: 56.9 -> 60.0Helped
Use a classification-based system instead of a two-in-one generatorFusedChat inter-mode dialogue models · FusedChat ODD-grounded TODsJoint SA: 0.574 -> 0.584Helped
Use a classification-based system instead of a two-in-one generatorFusedChat inter-mode dialogue models · FusedChat TOD-grounded ODDsSSA: 0.42 -> 0.48Helped
Use a classification-based system instead of a two-in-one generatorFusedChat inter-mode dialogue models · FusedChat TOD-grounded ODDsPPL: 9.15 -> 8.79Helped
Use a classification-based system instead of a two-in-one generatorFusedChat inter-mode dialogue models · FusedChat full test setInform: 70.4 -> 75.1Helped
Evaluate on ODD-grounded TODs rather than vanilla TODsNeural Pipeline · FusedChat ODD-grounded TODs versus MultiWOZSuccess: 64.3 -> 60.0Hurt
Use the classification-based model instead of the full methodFusedChat · All reported benchmarksMultiple dialogue metricsMixed

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