作者位次 #2/6ACL 2026Workshop· Natural Language Processing
Evolutionary Search for Automated Design of Uncertainty Quantification Methods
Mikhail Seleznyov · Daniil Korbut · Viktor Moskvoretskii · Oleg Somov · Alexander Panchenko · Elena Tutubalina
摘要
Uncertainty quantification (UQ) methods for large language models are predominantly designed by hand based on domain knowledge and heuristics, limiting their scalability and generality. We apply LLM-powered evolutionary search to automatically discover unsupervised UQ methods represented as Pytho...