A Paradigm for Situated and Goal-Driven Language Learning
Jon Gauthier, Igor Mordatch

TL;DR
This paper proposes a general paradigm for situated and goal-driven language learning aimed at developing robust language agents capable of effective human collaboration in diverse contexts.
Contribution
It introduces a novel situated language learning framework to enhance the adaptability and cooperation of language agents with humans in complex environments.
Findings
Framework enables improved human-agent collaboration
Enhances robustness of language agents in varied contexts
Lays groundwork for future research in situated language learning
Abstract
A distinguishing property of human intelligence is the ability to flexibly use language in order to communicate complex ideas with other humans in a variety of contexts. Research in natural language dialogue should focus on designing communicative agents which can integrate themselves into these contexts and productively collaborate with humans. In this abstract, we propose a general situated language learning paradigm which is designed to bring about robust language agents able to cooperate productively with humans.
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Taxonomy
TopicsSpeech and dialogue systems · Topic Modeling · Multi-Agent Systems and Negotiation
