Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues

In this work, we aim to develop LLM agents to mitigate social norm violations in negotiations in a multi-agent setting. We simulate real-world negotiations by letting two large Language Models (LLMs) play the roles of two negotiators in each conversation. A third LLM acts as a remediation agent to rewrite utterances violating norms for improving negotiation outcomes. As it is a novel task, no manually constructed data is available. To address this limitation, we introduce a value impact based In-Context …

agent agents aim conversation cs.ai cs.cl language language model language models large language large language model large language models llm llms multi-agent negotiation negotiations norm roles social work world