1 code implementation • Findings (NAACL) 2022 • Kushal Chawla, Gale M. Lucas, Jonathan May, Jonathan Gratch
A practical model for this task needs to infer these priorities of the opponent on the fly based on partial dialogues as input, without needing additional annotations for training.
no code implementations • 22 Oct 2023 • Kushal Chawla, Ian Wu, Yu Rong, Gale M. Lucas, Jonathan Gratch
A natural way to design a negotiation dialogue system is via self-play RL: train an agent that learns to maximize its performance by interacting with a simulated user that has been designed to imitate human-human dialogue data.
no code implementations • 21 Feb 2024 • Deuksin Kwon, Emily Weiss, Tara Kulshrestha, Kushal Chawla, Gale M. Lucas, Jonathan Gratch
A successful negotiation demands a deep comprehension of the conversation context, Theory-of-Mind (ToM) skills to infer the partner's motives, as well as strategic reasoning and effective communication, making it challenging for automated systems.