uncertainty quantification

1365 papers

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Also known as

UQ

Co-occurring keywords

uncertainty estimation (639) bayesian inference (1904) large language model (12755) conformal prediction (208) gaussian process (1198) variational inference (2069) out-of-distribution detection (611) epistemic uncertainty (156) neural network (6616) bayesian neural network (201)

Papers

Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs AAAI 2026

CP-Router: An Uncertainty-Aware Router Between LLM and LRM AAAI 2026

Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild AAAI 2026

COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees AAAI 2026

OrgaCast: A Trustworthy Spatiotemporal Diffusion Model for Fluorescence Organoid Forecasting AAAI 2026

Active3D: Active High-Fidelity 3D Reconstruction via Multi-Level Uncertainty Quantification AAAI 2026

PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data AAAI 2026

Efficient Protein Optimization via Structure-aware Hamiltonian Dynamics AAAI 2026

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026

Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models AAAI 2026

Performance of Conformal Prediction in Capturing Aleatoric Uncertainty WACV 2026

Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement AAAI 2026

Lorentz Entailment Cone for Semantic Segmentation WACV 2026

SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026

WarpRF: Multi-View Consistency for Training-Free Uncertainty Quantification and Applications in Radiance Fields WACV 2026

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging WACV 2026

Mind the Gap: Benchmarking LLM Uncertainty and Calibration with Specialty-Aware Clinical QA and Reasoning-Based Behavioural Features EACL 2026

Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026

Uncertainty Quantification for Evaluating Gender Bias in Machine Translation EACL 2026

Identifying Drivers of Predictive Aleatoric Uncertainty IJCAI 2025

Conformity in Large Language Models ACL 2025

Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models EMNLP 2025

Do not Abstain! Identify and Solve the Uncertainty ACL 2025

Towards Truly Open, Language-Specific, Safe, Factual, and Specialized Large Language Models COLING 2025

Confidence-Based Response Abstinence: Improving LLM Trustworthiness via Activation-Based Uncertainty Estimation EMNLP 2025