Towards README-EVAL : Interpreting README File Instructions
Code (0)
등록된 구현이 없습니다.
Tasks
Semantic ParsingSimilar Papers 제목 키워드 기반
LLM-based Content Classification Approach for GitHub Repositories by the README Files
GitHub is the world's most popular platform for storing, sharing, and managing code. Every GitHub repository has a README file associated with it. The README files should contain project-related information as per the re…
parameter-efficient fine-tuningText ClassificationText SummarizationText GenerationAn End-to-End System for Reproducibility Assessment of Source Code Repositories via Their Readmes
Increased reproducibility of machine learning research has been a driving force for dramatic improvements in learning performances. The scientific community further fosters this effort by including reproducibility rating…
NERdME: a Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories
Existing scholarly information extraction (SIE) datasets focus on scientific papers and overlook implementation-level details in code repositories. README files describe datasets, source code, and other implementation-le…
Information ExtractionAutomatic Analysis of Available Source Code of Top Artificial Intelligence Conference Papers
Source code is essential for researchers to reproduce the methods and replicate the results of artificial intelligence (AI) papers. Some organizations and researchers manually collect AI papers with available source code…
Readme_AI: Dynamic Context Construction for Large Language Models
Despite being trained on significant amounts of data, Large Language Models (LLMs) can provide inaccurate or unreliable information in the context of a user's specific query. Given query-specific context significantly im…