Papers with remediator agent

1 papers
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues (2024.findings-emnlp)

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Challenge: Existing studies have shown that virtual agents can help humans achieve task and social goals.
Approach: They propose a tuning-free and label-free method to identify high-quality ICL exemplars for the remediator agent and propose measurable criteria to measure the quality of the negotiation outcomes.
Outcome: The proposed model is able to improve negotiation outcomes across three negotiation topics.

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