model calibration

Bandwidth Selection in Kernel Density Estimation for Model Calibration UAI 2026 Beyond scalar losses: calibrating segmentation models via gradient vector field surgery MIDL 2026 Calibration-Aware Policy Optimization for Reasoning LLMs ACL 2026 ChulaNLP at SemEval-2026 Task 5: Regression-Calibrated LLM for Word-Sense Scoring SemEval 2026 Confident, Calibrated, or Complicit: Safety Alignment and Ideological Bias in LLM Hate Speech Detection ACL 2026 Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning WACV 2026 DialDefer: A Framework for Detecting and Mitigating LLM Dialogic Deference ACL 2026 DUD: Decoupled Update Dynamics for Reliable Uncertainty Quantification in Large Language Models ACL 2026 Dynamics-Aware Preference Optimization for Vision-Language Models CVPR 2026 GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models ACL 2026 HALP: Detecting Hallucinations in Vision-Language Models without Generating a Single Token EACL 2026 HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition AAAI 2026 Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining CVPR 2026 LLMs (Almost) Never Abstain Under Medical Uncertainty ACL 2026 On the Calibration of Image Semi-Supervised Learning Models AAAI 2026 Query2Uncertainty: Robust Uncertainty Quantification and Calibration for 3D Object Detection under Distribution Shift CVPR 2026 RealBirdID: Benchmarking Bird Species Identification in the Era of MLLMs CVPR 2026 Rethinking BCE Loss for Multi-Label Image Recognition with Fine-Tuning CVPR 2026 Semantic Vectors at SemEval-2026 Task 9: Robust Multilingual Polarization Detection via Dual-Encoder Fusion and Expert Ensembling SemEval 2026 SemEval-2026 Task 13: Fine-tuned CodeBERT with Stratified Balancing, Dynamic Threshold Optimization, and Logit Bias Correction for Robust Multi-Language AI Code Detection SemEval 2026 Similarity-as-Evidence: Calibrating Overconfident VLMs for Interpretable and Label-Efficient Medical Active Learning CVPR 2026 SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning CVPR 2026 Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood WACV 2026 Accounting for Sycophancy in Language Model Uncertainty Estimation NAACL 2025 Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication EMNLP 2025