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cs.CL2026
Pre-Generation Hallucination Detection in Large Language Models via Soft-Target Attention Probing
Amina Miftakhova, Alexey Zaytsev
Detecting hallucination risk before generation enables abstention, retrieval augmentation, and routing decisions without incurring the cost of decoding. While prior work has shown…
cs.CL2025
Probabilistic distances-based hallucination detection in LLMs with RAG
Rodion Oblovatny, Alexandra Kuleshova, Konstantin Polev +1
Detecting hallucinations in large language models (LLMs) is critical for their safety in many applications. Without proper detection, these systems often provide harmful, unreliabl…