In a 75-session pilot with two Greek students per session, ChatGPT 4.0 produced consensus proposals with higher average cosine similarity to initial participant opinions and required fewer iterations than Mistral Large 2 or AI21 Jamba.
LLMediator: GPT-4 Assisted Online Dispute Resolution
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abstract
In this article, we introduce LLMediator, an experimental platform designed to enhance online dispute resolution (ODR) by utilizing capabilities of state-of-the-art large language models (LLMs) such as GPT-4. In the context of high-volume, low-intensity legal disputes, alternative dispute resolution methods such as negotiation and mediation offer accessible and cooperative solutions for laypeople. These approaches can be carried out online on ODR platforms. LLMediator aims to improve the efficacy of such processes by leveraging GPT-4 to reformulate user messages, draft mediator responses, and potentially autonomously engage in the discussions. We present and discuss several features of LLMediator and conduct initial qualitative evaluations, demonstrating the potential for LLMs to support ODR and facilitate amicable settlements. The initial proof of concept is promising and opens up avenues for further research in AI-assisted negotiation and mediation.
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From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategies
In a 75-session pilot with two Greek students per session, ChatGPT 4.0 produced consensus proposals with higher average cosine similarity to initial participant opinions and required fewer iterations than Mistral Large 2 or AI21 Jamba.