4 papers
Hallucination Detection in LLMs with Topological Divergence on Attention Graphs
Alexandra Bazarova, Andrei Volodichev, Aleksandr Yugay +10
Hallucination, i.e., generating factually incorrect content, remains a critical challenge for large language models (LLMs). We introduce TOHA, a TOpology-based HAllucination detect…
INTRYGUE: Induction-Aware Entropy Gating for Reliable RAG Uncertainty Estimation
Alexandra Bazarova, Andrei Volodichev, Daria Kotova +1
While retrieval-augmented generation (RAG) significantly improves the factual reliability of LLMs, it does not eliminate hallucinations, so robust uncertainty quantification (UQ) r…
Learning Transactions Representations for Information Management in Banks: Mastering Local, Global, and External Knowledge
Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov +7
In today's world, banks use artificial intelligence to optimize diverse business processes, aiming to improve customer experience. Most of the customer-related tasks can be categor…
Normalizing self-supervised learning for provably reliable Change Point Detection
Alexandra Bazarova, Evgenia Romanenkova, Alexey Zaytsev
Change point detection (CPD) methods aim to identify abrupt shifts in the distribution of input data streams. Accurate estimators for this task are crucial across various real-worl…