In today’s hyper-connected digital world, every second counts. When a cyberattack strikes, the difference between a system that crashes and one that survives often comes down to speed, intelligence ...
I'm following the instructions and codes here to fine tune codebert-base on Assembly code clone detection task. But the result is poor (best accuracy only reached 0.3). How to solve the problem please ...
ABSTRACT: The Large Language Models (LLMs), such as GPT and BERT, were proposed for natural language processing (NLP) and have shown promising results as general-purpose language models. An increasing ...
Training large-scale AI models such as transformers and language models have become an indispensable yet highly demanding process in AI. With billions of parameters, these models offer groundbreaking ...
ABSTRACT: The Large Language Models (LLMs), such as GPT and BERT, were proposed for natural language processing (NLP) and have shown promising results as general-purpose language models. An increasing ...
Add Decrypt as your preferred source to see more of our stories on Google. Smart contracts are the heart of the entire blockchain industry, from meme coins to complex DeFi platforms. These automated ...
Smart contracts play a pivotal role in blockchain technology for the development of decentralized applications. The susceptibility of smart contracts to vulnerabilities poses a significant threat, ...
但是这些数据集没有label。 如果我想用codebert在 过滤后的 train数据集上fine turn时，就需要lable数据。 我在graphcodebert论文中的Appendix B，看到了Code Search在过滤后的数据集上测试结果。 但是我没有找到如何将过滤后的数据，进一步制造出带lable的数据。
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