Maxim Panov

Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective

2023 · HAL (Le Centre pour la Communication Scientifique Directe)

International audience

Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph

2024 · arXiv (Cornell University)

The rapid proliferation of large language models (LLMs) has stimulated researchers to seek effective and efficient approaches to deal with LLM hallucinations and low-quality outputs. Uncertainty quantification (UQ) is a key element of machine learning …