The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models Paper • 2606.22792 • Published Jun 22
GRUET: Quantifying Uncertainty of Agentic Reasoning-and-Acting Processes Paper • 2609.24831 • Published about 1 month ago
SGA: Uncertainty Quantification for Multi-Step Forecasting in Time Series Foundation Models Paper • 2609.28582 • Published 28 days ago • 1
GUT: Quantifying and Optimizing the Reasoning Uncertainty of LLMs via Graph Complexity Paper • 2609.05284 • Published Sep 4 • 2
Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers Paper • 2607.19139 • Published Jul 21 • 76
RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models Paper • 2607.06504 • Published Jul 7 • 2
TernaryCLIP: Efficiently Compressing Vision-Language Models with Ternary Weights and Distilled Knowledge Paper • 2510.21879 • Published Oct 23, 2025
GUT: Quantifying and Optimizing the Reasoning Uncertainty of LLMs via Graph Complexity Paper • 2609.05284 • Published Sep 4 • 2