Author

Timur Ionov

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#natural language process... Preprint Sep 2026

Enoki: Efficient Multi-Level Hallucination Detection

This work proposes Enoki, an Open Information Extraction framework for multi-level hallucination detection that supports LLM-based, encoder-based, and rule-based extraction regimes, balancing accuracy and inference cost through a common interface.

Elisei Rykov, Timur Ionov, Nikolay Ivanov et al. · 0 citations

Book Open access Jul 2026

SAGE: Solver-Aligned Guided Exploration

SAGE, a modular approach that trains a small searcher model to handle codebase exploration as a tool for a frozen large solver model, is proposed, demonstrating a practical path to cheaper, modular software engineering agents.

N. Sorokin, I. Sedykh, Timur Ionov et al. · Annual International ACM SIG... · 0 citations