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Navigating the growing field of research on AI for software testing -- the taxonomy for AI-augmented software testing and an ontology-driven literature survey schieferdecker ai4stpaper • 17 Jun 2025 This paper reviews recent research on AI augmentation in software test automation, from no automation to full automation
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14329 leaderboards • 5876 tasks • 12425 datasets • 167989 papers with code
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The mission of Papers with Code is to create a free and open resource with Machine Learning papers, code, datasets, methods and evaluation tables We believe this is best done together with the community, supported by NLP and ML
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21 code implementations • Preprint 2019 Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are typically approached with supervised learning on taskspecific datasets Ranked #1 on Language Modelling on enwik8 (using extra training data)
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Training language models to follow instructions with human feedback ggerganov llama cpp • • 4 Mar 2022 In this paper, we show an avenue for aligning language models with user intent on a wide range of tasks by fine-tuning with human feedback Ranked #6 on Question Answering on TIQ
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91 papers with code • 27 benchmarks • 52 datasets This task has no description! Would you like to contribute one?
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