Author

Ivan Bondarenko

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#artificial intelligence Preprint Sep 2026

When Harness Beats Scale, and When Reading Beats Both

We describe our system for DocSem, the document-grounded quantitative reasoning shared task at DocInsights 2026, and analyze why it succeeded on labeled data and failed on the test set. The pipeline pairs hybrid block retrieval with Program-of-Thoughts (PoT) generation executed in a sandboxed interpreter, self-consiste...

Ivan Bondarenko, Nikolay O. Nikitin · 0 citations

Jul 2026

RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM

RAGU, an open-source modular GraphRAG engine, addresses extraction from consolidation by separating extraction from consolidation: entities and relations pass through two-stage typed extraction, DBSCAN-backed deduplication, LLM summarization, and Leiden community detection.

Mikhail Komarov, Ivan Bondarenko, Stanislav Shtuka et al. · arXiv.org · 0 citations