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Raymond Ma

2 accepted papers

2025

To Code or Not To Code? Exploring Impact of Code in Pre-training

ICLR 2025poster

Including code in the pre-training data mixture, even for models not specifically designed for code, has become a common practice in LLMs pre-training. While there has been anecdotal consensus among practitioners that code data plays a vital role in general LLMs' performance, there is only limited w…

Cited by 4SourcePDFScholar
2024

On Leakage of Code Generation Evaluation Datasets

EMNLP 2024finding

In this paper, we consider contamination by code generation test sets, in particular in their use in modern large language models.We discuss three possible sources of such contamination and show findings supporting each of them: (i) direct data leakage, (ii) indirect data leakage through the use of…

Cited by 21SourcePDFScholar