A Paradigm for Situated and Goal-Driven Language Learning
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Oct 2016.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 0; 2025: 1.
4 papers.
- 2021Towards Socially Intelligent Agents with Mental State Transition and Human Utilitycited by 14
- 2025Formalizing Learning from Language Feedback with Provable Guaranteescited by 10
- 2022Building Human-like Communicative Intelligence: A Grounded Perspectivecited by 4
- 2021Situated Language Learning via Interactive Narrativescited by 2
- 2025Formalizing Learning from Language Feedback with Provable Guarantees12 Jun 2025
- 2022Building Human-like Communicative Intelligence: A Grounded Perspective2 Jan 2022
- 2021Situated Language Learning via Interactive Narratives18 Mar 2021
- 2021Towards Socially Intelligent Agents with Mental State Transition and Human Utility12 Mar 2021