Maxwell Nye
Publications by Year
Research Areas
Topic Modeling, Software Engineering Research, Natural Language Processing Techniques, Software Testing and Debugging Techniques, AI-based Problem Solving and Planning
Most-Cited Works
- → Show Your Work: Scratchpads for Intermediate Computation with Language\n Models(2021)130 cited
- → DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning(2023)101 cited
- → DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning(2021)90 cited
- Write, Execute, Assess: Program Synthesis with a REPL(2019)
- → Improving Coherence and Consistency in Neural Sequence Models with\n Dual-System, Neuro-Symbolic Reasoning(2021)33 cited
- → DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning(2020)33 cited
- → Learning to Infer Program Sketches(2019)32 cited
- → Learning Compositional Rules via Neural Program Synthesis(2020)31 cited
- → The Variational Homoencoder: Learning to learn high capacity generative models from few examples(2018)30 cited
- → Implicit Representations of Meaning in Neural Language Models(2021)22 cited