Author

Konstantin Chesnokov

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Preprint Aug 2026

Natural Language Code Retrieval for 1C:Enterprise: An Open Benchmark and Efficient Bi-Encoder

To overcome scarce labeled data, Matryoshka Representation Learning truncation to 256 dimensions preserves 99.9% of retrieval quality while reducing dense-index storage and exact similarity arithmetic by a factor of three.

Konstantin Chesnokov, Chingiz Mingazov · 0 citations