Author

Elisei Rykov

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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

Preprint Aug 2026

MemToC: Benchmarking Memory-Tool Conflict Resolution in Large Language Models

MemToC, a controlled benchmark for post-tool-return arbitration with executable tools, is introduced and an asymmetric success criterion is applied: correct-answer retention must improve without a detected reduction in correct-tool following.

A. Varlamov, R. Zinnatullin, E. Rykov et al. · 1 citation