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Workshop
(Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models
Andreas Kirsch
Workshop
Sat 12:00 CLUE: Concept-Level Uncertainty Estimation for Large Language Models
Yu-Hsiang Wang · Andrew Bai · Che-Ping Tsai · Cho-Jui Hsieh
Workshop
Uncertainty Quantification and Calibration for Audio-driven Disease Diagnosis
Shubham Kulkarni · Hideaki Watanabe · Fuminori Homma
Workshop
Uncertainty as a criterion for SOTIF evaluation of deep learning models in autonomous driving systems
Ho Suk
Workshop
From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty
Maor Ivgi · Ori Yoran · Jonathan Berant · Mor Geva
Workshop
Bayesian Rashomon Sets for Model Uncertainty: A critical comparison
Aparajithan Venkateswaran · Tyler H. McCormick
Workshop
Sat 15:45 A Framework for Evaluating LLMs Under Task Indeterminacy
Luke Guerdan · Hanna Wallach · Solon Barocas · Alexandra Chouldechova
Workshop
A Framework for Evaluating LLMs Under Task Indeterminacy
Luke Guerdan · Hanna Wallach · Solon Barocas · Alexandra Chouldechova
Workshop
Higher Uncertainty Leads to Less Exploration in a Combinatorial Discovery Game
Bonan Zhao · Natalia Vélez · Tom Griffiths
Poster
Fri 16:30 I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
Roi Cohen · Konstantin Dobler · Eden Biran · Gerard de Melo
Workshop
Sat 15:45 Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
Rachel Longjohn · Giri Gopalan · Emily Casleton
Workshop
Sat 9:00 Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design
Alexander Terenin · Natalie Maus · Renato Berlinghieri · Zi Wang