Papers by Denis Kochedykov

2 papers
Conversing with databases: Practical Natural Language Querying (2023.emnlp-industry)

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Challenge: Large amount of companies' data is stored in relational databases . quick hypotheses validation is rarely, if ever, possible for majority of nontechnical business stakeholders.
Approach: They propose a hybrid NLQ system for conversational DB querying that allows non-technical users to formulate data requests as natural language questions.
Outcome: The proposed system is based on a hybrid NLQ (Natural Language Querying) system for conversational DB querying.
MM-BizRAG: Rethinking Multimodal Retrieval-Augmented Generation for General Purpose Enterprise Q&A (2026.acl-industry)

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Challenge: Recent advances in multimodal retrieval-augmented generation (MM-RAG) have shifted toward minimal parsing, relying on page-level images for producing retriever embeddings and answer generation.
Approach: They propose a document structure-aware split that extracts and represents document structure via a structure-based split that dynamically routes documents through orientation-specific ingestion pipelines.
Outcome: The proposed model outperforms state-of-the-art vision-centric baselines by up to 32% points and achieves strong gains on report-style layouts.

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