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12/20/2022
Language Modeling with Latent Situations
Language models (LMs) often generate incoherent outputs: they refer to e...
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11/30/2021
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Large pre-trained language models perform remarkably well on tasks that ...
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08/16/2021
Program Synthesis with Large Language Models
This paper explores the limits of the current generation of large langua...
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07/06/2021
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Human reasoning can often be understood as an interplay between two syst...
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06/15/2021
Communicating Natural Programs to Humans and Machines
The Abstraction and Reasoning Corpus (ARC) is a set of tasks that tests ...
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06/01/2021
Implicit Representations of Meaning in Neural Language Models
Does the effectiveness of neural language models derive entirely from ac...
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12/23/2020
Representing Partial Programs with Blended Abstract Semantics
Synthesizing programs from examples requires searching over a vast, comb...
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06/15/2020
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Expert problem-solving is driven by powerful languages for thinking abou...
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06/09/2019
Write, Execute, Assess: Program Synthesis with a REPL
We present a neural program synthesis approach integrating components wh...
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02/17/2019
Learning to Infer Program Sketches
Our goal is to build systems which write code automatically from the kin...
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07/17/2018