arXiv Machine Learning August 3, 2026 By Siyang Cai, Cangyuan Li, Wenjing Chang, Kun Wang, Haoyu Gao, Yinhe Han, Ying Wang

RTLCurator: Label-Efficient Data Curation for RTL Generation

Read the original on arXiv Machine Learning →

arXiv:2607. 29283v1 Announce Type: cross Abstract: Training large language models (LLMs) to write register-transfer level (RTL) requires large corpora of paired specifications and code, and such data is scarce enough that most public corpora are now synthesized.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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