Author

L. Rvanova

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Conference Open access 2026

Efficient Hallucination Detection in Automatic Code Generation

A lightweight Transformer-based detector is trained that uses LLM internal representations to identify hallucinations, substantially outperforming existing methods across several code generation domains and shows particular promise for enabling self-correction in LLM-based coding agents.

G. Andriushchenko, R. Garaev, L. Rvanova et al. · Annual Meeting of the Associ... · 0 citations

Jul 2026

Extending LLM Context via Associative Recurrent Memory

An extensive experimental study is presented demonstrating that ARMT-augmented models process inputs well beyond their original context limits without degrading performance relative to in-limit baselines and need 30% less FLOPs while preserving baseline performance within the original context window.

Gleb Kuzmin, I. Rodkin, A. Bulatov et al. · arXiv.org · 0 citations