#Uncertainty Quantification
Latest news articles tagged with "Uncertainty Quantification". Follow the timeline of events, related topics, and entities.
Articles (8)
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🇺🇸 Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
[USA]
arXiv:2603.20161v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated remarkable capabilities across diverse tasks. However, the truthfulness of their outputs is not guaran...
Related: #AI Efficiency -
🇺🇸 URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models
[USA]
arXiv:2603.19281v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) has emerged as a widely adopted approach for enhancing LLMs in scenarios that demand extensive factual knowledge...
Related: #AI Benchmarking -
🇺🇸 Shifting Uncertainty to Critical Moments: Towards Reliable Uncertainty Quantification for VLA Model
[USA]
arXiv:2603.18342v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models enable general-purpose robotic policies by mapping visual observations and language instructions to low-level act...
Related: #AI Reliability -
🇺🇸 Structure-Aware Epistemic Uncertainty Quantification for Neural Operator PDE Surrogates
[USA]
arXiv:2603.11052v1 Announce Type: cross Abstract: Neural operators (NOs) provide fast, resolution-invariant surrogates for mapping input fields to PDE solution fields, but their predictions can exhib...
Related: #Neural Operators -
🇺🇸 Cross-Domain Uncertainty Quantification for Selective Prediction: A Comprehensive Bound Ablation with Transfer-Informed Betting
[USA]
arXiv:2603.08907v1 Announce Type: cross Abstract: We present a comprehensive ablation of nine finite-sample bound families for selective prediction with risk control, combining concentration inequali...
Related: #Machine Learning -
🇺🇸 Transformers can do Bayesian Clustering
[USA]
arXiv:2510.24318v3 Announce Type: replace-cross Abstract: Bayesian clustering accounts for uncertainty but is computationally demanding at scale. Furthermore, real-world datasets often contain missin...
Related: #Machine Learning, #Bayesian Methods, #Transformers, #Data Imputation -
🇺🇸 UCTECG-Net: Uncertainty-aware Convolution Transformer ECG Network for Arrhythmia Detection
[USA]
arXiv:2602.16216v1 Announce Type: cross Abstract: Deep learning has improved automated electrocardiogram (ECG) classification, but limited insight into prediction reliability hinders its use in safet...
Related: #Artificial Intelligence in Healthcare, #Medical Signal Processing, #Deep Learning for ECG Analysis, #Safety‑Critical Decision Making -
🇺🇸 Trust the uncertain teacher: distilling dark knowledge via calibrated uncertainty
[USA]
arXiv:2602.12687v1 Announce Type: cross Abstract: The core of knowledge distillation lies in transferring the teacher's rich 'dark knowledge'-subtle probabilistic patterns that reveal how classes are...
Related: #Knowledge Distillation, #Model Compression
Key Entities (2)
- Large language model (1 news)
- Probability distribution (1 news)
About the topic: Uncertainty Quantification
The topic "Uncertainty Quantification" aggregates 8+ news articles from various countries.