200 citations · 276 across the 6 of their papers we have counts for
7 papers
Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs
Federico Cassano, John Gouwar, Francesca Lucchetti +7
Over the past few years, Large Language Models of Code (Code LLMs) have started to have a significant impact on programming practice. Code LLMs are also emerging as building blocks…
Solving and Generating NPR Sunday Puzzles with Large Language Models
Jingmiao Zhao, Carolyn Jane Anderson
We explore the ability of large language models to solve and generate puzzles from the NPR Sunday Puzzle game show using PUZZLEQA, a dataset comprising 15 years of on-air puzzles.…
StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code
Hannah McLean Babe, Sydney Nguyen, Yangtian Zi +3
Code LLMs are being rapidly deployed and there is evidence that they can make professional programmers more productive. Current benchmarks for code generation measure whether model…
StarCoder: may the source be with you!
Raymond Li, Loubna Ben Allal, Yangtian Zi +64
The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder and StarCoderBase…
SantaCoder: don't reach for the stars!
Loubna Ben Allal, Raymond Li, Denis Kocetkov +38
The BigCode project is an open-scientific collaboration working on the responsible development of large language models for code. This tech report describes the progress of the col…
MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation
Federico Cassano, John Gouwar, Daniel Nguyen +10
Large language models have demonstrated the ability to generate both natural language and programming language text. Such models open up the possibility of multi-language code gene…