1 citations · 1 across the 6 of their papers we have counts for
3 papers · 1 filter
Detecting Overflow in Compressed Token Representations for Retrieval-Augmented Generation
Julia Belikova, Danila Rozhevskii, Dennis Svirin +2
Efficient long-context processing remains a crucial challenge for contemporary large language models (LLMs), especially in resource-constrained environments. Soft compression archi…
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…
Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs
Julia Belikova, Konstantin Polev, Rauf Parchiev +1
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems are increasingly deployed in industry applications, yet their reliability remains hampered by challeng…