uncertainty quantification

QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring ICML 2025 RAcQUEt: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs EMNLP 2025 RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping RSS 2025 Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive Health AAAI 2025 REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025 Reflective Teacher: Semi-Supervised Multimodal 3D Object Detection in Bird's-Eye-View via Uncertainty Measure WACV 2025 Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction AAAI 2025 Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes ACL 2025 Residual Reweighted Conformal Prediction for Graph Neural Networks UAI 2025 Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty EMNLP 2025 Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025 Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models’ Uncertainty? ACL 2025 Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control ICLR 2025 Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results ACL 2025 Reviving Poor Object Segmentations in OOD Medical Images using Variational-Deep-PCA Modeling on Segmentation Maps with Sampling-Free Learning WACV 2025 Risk Controlled Image Retrieval AAAI 2025 Robust and Conjugate Spatio-Temporal Gaussian Processes ICML 2025 Robust Classification by Coupling Data Mollification with Label Smoothing AISTATS 2025 Robust Long-Range Perception Against Sensor Misalignment in Autonomous Vehicles WACV 2025 RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis IJCAI 2025 RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations AAAI 2025 SACP: Spatially-Adaptive Conformal Prediction in Uncertainty Quantification of Medical Image Segmentation MIDL 2025 Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference UAI 2025 Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization (Abstract Reprint) IJCAI 2025 SConU: Selective Conformal Uncertainty in Large Language Models ACL 2025