Negotiation Dialogue

Negotiation dialogue systems aim to create artificial agents capable of engaging in effective and efficient negotiations, mirroring human abilities to reach agreements. Current research heavily utilizes large language models (LLMs) and reinforcement learning (RL) to build these systems, focusing on improving their generalizability across diverse negotiation domains and enhancing their ability to handle multi-party and multi-issue scenarios. These advancements are significant for both improving human-computer interaction and optimizing resource allocation in various applications, such as cloud computing and online marketplaces. The field is actively developing benchmarks and datasets to facilitate rigorous evaluation and comparison of different approaches.