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Papers
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
JMLR 2025
The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models
EMNLP 2025
Thesis Proposal: Uncertainty in Knowledge Graph Embeddings
NAACL 2025
Things Machine Learning Models Know That They Don’t Know
AAAI 2025
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models
NAACL 2025
TorchCP: A Python Library for Conformal Prediction
JMLR 2025
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy
AAAI 2025
Towards Reliable Large Audio Language Model
ACL 2025
Towards Statistical Factuality Guarantee for Large Vision-Language Models
EMNLP 2025
Towards Truly Open, Language-Specific, Safe, Factual, and Specialized Large Language Models
COLING 2025
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective
AAAI 2025
Towards Uncertainty Unification: A Case Study for Preference Learning
RSS 2025
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
CVPR 2025
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
ICLR 2025
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification
AAAI 2025
Trustworthy assessment of heterogeneous treatment effect estimator via analysis of relative error
AISTATS 2025
TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs
EMNLP 2025
UA-Pose: Uncertainty-Aware 6D Object Pose Estimation and Online Object Completion with Partial References
CVPR 2025
UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions
ACL 2025
Uncertain (Mis)Takes at LeWiDi-2025: Modeling Human Label Variation With Semantic Entropy
EMNLP 2025
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
ICML 2025
Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation
WACV 2025
Uncertainty-Aware Contrastive Decoding
ACL 2025
Uncertainty-Aware Decoding with Minimum Bayes Risk
ICLR 2025
Uncertainty-Aware Diffusion-Guided Refinement of 3D Scenes
ICCV 2025