Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Chawla, Kushal"'
Autor:
Kwon, Deuksin, Weiss, Emily, Kulshrestha, Tara, Chawla, Kushal, Lucas, Gale M., Gratch, Jonathan
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. Gi
Externí odkaz:
http://arxiv.org/abs/2402.13550
Knowledge-grounded dialogue generation is a challenging task because it requires satisfying two fundamental yet often competing constraints: being responsive in a manner that is specific to what the conversation partner has said while also being attr
Externí odkaz:
http://arxiv.org/abs/2402.02077
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. Although this procedur
Externí odkaz:
http://arxiv.org/abs/2310.14404
Dialogue systems capable of social influence such as persuasion, negotiation, and therapy, are essential for extending the use of technology to numerous realistic scenarios. However, existing research primarily focuses on either task-oriented or open
Externí odkaz:
http://arxiv.org/abs/2210.05664
Opponent modeling is the task of inferring another party's mental state within the context of social interactions. In a multi-issue negotiation, it involves inferring the relative importance that the opponent assigns to each issue under discussion, w
Externí odkaz:
http://arxiv.org/abs/2205.00344
Negotiation is a complex social interaction that encapsulates emotional encounters in human decision-making. Virtual agents that can negotiate with humans are useful in pedagogy and conversational AI. To advance the development of such agents, we exp
Externí odkaz:
http://arxiv.org/abs/2107.13165
Automated systems that negotiate with humans have broad applications in pedagogy and conversational AI. To advance the development of practical negotiation systems, we present CaSiNo: a novel corpus of over a thousand negotiation dialogues in English
Externí odkaz:
http://arxiv.org/abs/2103.15721
Autor:
Chawla, Kushal, Lucas, Gale
This document describes our agent Pilot, winner of the Human-Agent Negotiation Challenge at ANAC, IJCAI 2020. Pilot is a virtual human that participates in a sequence of three negotiations with a human partner. Our system is based on the Interactive
Externí odkaz:
http://arxiv.org/abs/2009.06781
We describe our system for WNUT-2020 shared task on the identification of informative COVID-19 English tweets. Our system is an ensemble of various machine learning methods, leveraging both traditional feature-based classifiers as well as recent adva
Externí odkaz:
http://arxiv.org/abs/2009.03849
Agents that negotiate with humans find broad applications in pedagogy and conversational AI. Most efforts in human-agent negotiations rely on restrictive menu-driven interfaces for communication. To advance the research in language-based negotiation
Externí odkaz:
http://arxiv.org/abs/2004.02363