The concrete distribution: A continuous relaxation of discrete random variables
CJ Maddison, A Mnih, YW Teh - ar** natural language utterances into structured meaning
representations. In this work, we propose a structure-aware neural architecture which …
representations. In this work, we propose a structure-aware neural architecture which …
Emergence of language with multi-agent games: Learning to communicate with sequences of symbols
Learning to communicate through interaction, rather than relying on explicit supervision, is
often considered a prerequisite for develo** a general AI. We study a setting where two …
often considered a prerequisite for develo** a general AI. We study a setting where two …
Generating responses with a specific emotion in dialog
It is desirable for dialog systems to have capability to express specific emotions during a
conversation, which has a direct, quantifiable impact on improvement of their usability and …
conversation, which has a direct, quantifiable impact on improvement of their usability and …
Spoc: Search-based pseudocode to code
We consider the task of map** pseudocode to executable code, assuming a one-to-one
correspondence between lines of pseudocode and lines of code. Given test cases as a …
correspondence between lines of pseudocode and lines of code. Given test cases as a …
Latent intention dialogue models
Develo** a dialogue agent that is capable of making autonomous decisions and
communicating by natural language is one of the long-term goals of machine learning …
communicating by natural language is one of the long-term goals of machine learning …
Coupling large language models with logic programming for robust and general reasoning from text
While large language models (LLMs), such as GPT-3, appear to be robust and general, their
reasoning ability is not at a level to compete with the best models trained for specific natural …
reasoning ability is not at a level to compete with the best models trained for specific natural …
Structvae: Tree-structured latent variable models for semi-supervised semantic parsing
Semantic parsing is the task of transducing natural language (NL) utterances into formal
meaning representations (MRs), commonly represented as tree structures. Annotating NL …
meaning representations (MRs), commonly represented as tree structures. Annotating NL …