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B. Grecu

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Open access 2026

NarSiL at SemEval-2026 Task 4: A Multi-Expert, Multi-Pathway System for Narrative Story Similarity

This work presents NarSiL 1, a system for SemEval-2026 Task 4 Track A on Narrative Story Similarity that employs a Mixture-of-Experts initial classifier that also leverages supermajority voting across three large language models, followed by a structured three-pathway fallback for ambiguous cases.

B. Grecu, Costin-Gabriel Chiru, O. Cocarascu · 1 citation
Conference Open access 2026

TinyAttack: Exploring Stylistic Vulnerabilities in Large Language Models

This work proposes TinyAttack, a novel adversarial attack framework designed to exploit vulnerabilities in LLMs through Unicode-based stylistic transformations, which utilises five Unicode variants to modify the visual rendering of text without altering its underlying semantic or syntactic structure.

M. Mamta, B. Grecu, O. Cocarascu · 0 citations

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