A new LLM-based pipeline, SocialSim, generates emotional support dialogues from a persona bank and cognitive reasoning chain, producing the SSConv corpus; a chatbot trained on SSConv outperforms crowdsourced-data baselines in automatic and human evaluations.
C3KG: A Chinese Commonsense Conversation Knowledge Graph
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abstract
Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps. To fill the gap, we curate a large-scale multi-turn human-written conversation corpus, and create the first Chinese commonsense conversation knowledge graph which incorporates both social commonsense knowledge and dialog flow information. To show the potential of our graph, we develop a graph-conversation matching approach, and benchmark two graph-grounded conversational tasks.
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SocialSim: Towards Socialized Simulation of Emotional Support Conversation
A new LLM-based pipeline, SocialSim, generates emotional support dialogues from a persona bank and cognitive reasoning chain, producing the SSConv corpus; a chatbot trained on SSConv outperforms crowdsourced-data baselines in automatic and human evaluations.