arXiv Machine Learning August 6, 2026 By Usha Shrestha, Dmitry Ignatov, Radu Timofte

From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs

Read the original on arXiv Machine Learning →

arXiv:2601. 03808v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have achieved notable performance in code synthesis; however, data-aware augmentation remains a limiting factor, handled via heuristic design or brute-force approaches.

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

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