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Shraddha Barke

2 accepted papers

2024

HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis

NeurIPS 2024poster

Many structured prediction and reasoning tasks can be framed as program synthesis problems, where the goal is to generate a program in a \emph{domain-specific language} (DSL) that transforms input data into the desired output. Unfortunately, purely neural approaches, such as large language models (L…

Cited by 11SourcePDFScholar
2024

Solving Data-centric Tasks using Large Language Models

NAACL 2024findings

Large language models are rapidly replacing help forums like StackOverflow, and are especially helpful to non-professional programmers and end users. These users are often interested in data-centric tasks, like spreadsheet manipulation and data wrangling, which are hard to solve if the intent is onl…