conftrace_

uncertainty calibration

58 papers

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Also known as

UC

Co-occurring keywords

uncertainty quantification (1393) large language model (13587) model calibration (232) variational inference (2069) ensemble learning (1274) temperature scaling (67) predictive uncertainty (79) out-of-distribution detection (617) ensemble method (564) gaussian process (1200)

Papers

Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA ACL 2026
From Sampling to Cognition: Modeling Internal Cognitive Confidence in Language Models for Robust Uncertainty Calibration AAAI 2026
CURA: Clinical Uncertainty Risk Alignment for Language Model–Based Risk Prediction ACL 2026
Simplex-Aligned Diffusion with Cross-Granularity Interaction for Robust Medical Image Classification MIDL 2026
Trustworthy Classification for Complex Social Surveys: A Memory-Enhanced Hierarchical Framework with Calibrated Uncertainty AAAI 2026
Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment EMNLP 2025
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations EMNLP 2025
A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates ACL 2025
Parametric ρ-Norm Scaling Calibration AAAI 2025
Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models COLING 2025
Map Space Belief Prediction for Manipulation-Enhanced Mapping RSS 2025
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models AAAI 2025
Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025
CoAlign: Uncertainty Calibration of LLM for Geospatial Repartition ACL 2025
From Observation to Understanding: Front-Door Adjustments with Uncertainty Calibration for Enhancing Egocentric Reasoning in LVLMs ACL 2025
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction AAAI 2025
Pixel-wise Divide and Conquer for Federated Vessel Segmentation IJCAI 2025
Mining the uncertainty patterns of humans and models in the annotation of moral foundations and human values ACL 2025
Ambiguity Detection and Uncertainty Calibration for Question Answering with Large Language Models NAACL 2025
Kermut: Composite kernel regression for protein variant effects NIPS 2024
CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving AAAI 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NIPS 2024
Uncertainty Calibration for Tool-Using Language Agents EMNLP 2024
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction NIPS 2023