A tree-structured framework is proposed that organizes failures in knowledge-intensive visual question answering into model-specific operational outcomes that support attribution-guided routing to targeted interventions, including image repair, entity support, question rewriting, and factual evidence.
K. Vo, Artem Vazhentsev, Artem Shelmanov et al.· 0 citations
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
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
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