Neurosymbolic Program Synthesis

By Swarat Chaudhuri

Citations in the corpus

• Improving Automatic Source Code Summarization via Deep Reinforcement Learning (2018, unknown): “[35] learn distributed representations of source code input/output pairs and use them to assess and review student assignments or to guide program synthesis from examples.”
• In-IDE Code Generation from Natural Language: Promise and Challenges (2021, unknown): “Examples include generating formatted input file parsers [63]; structured, idiomatic sequences of API calls [96]; regular expressions [60, 74, 90]; string manipulation DSL programs [100]; card implementations for trading card games [68]; and solutions to the simplest of programming competition-style”