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Found 6 papers, 4 papers with code
Stress Rules from Surface Forms: Experiments with Program Synthesis
Learning linguistic generalizations from only a few examples is a challenging task.
Generating Pragmatic Examples to Train Neural Program Synthesizers
Programming-by-example is the task of synthesizing a program that is consistent with a set of user-provided input-output examples.
Symbolic Planning and Code Generation for Grounded Dialogue
Large language models (LLMs) excel at processing and generating both text and code.
Amortizing Pragmatic Program Synthesis with Rankings
We prove that for a pragmatic synthesizer that uses a single demonstration, our global ranking method exactly replicates RSA's ranked responses.
Efficient Pragmatic Program Synthesis with Informative Specifications
Surprisingly, we find that the synthesizer assuming a factored approximation performs better than a synthesizer assuming an exact joint distribution when evaluated on natural human inputs.
Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems
Neural models excel at extracting statistical patterns from large amounts of data, but struggle to learn patterns or reason about language from only a few examples.
