conftrace_

probability calibration

57 papers

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Co-occurring keywords

uncertainty quantification (1393) uncertainty estimation (648) large language model (13587) calibration error (61) multi-class classification (280) confidence calibration (183) model calibration (232) posterior probability (64) deep neural network (1803) language model (4599)

Papers

Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models AAAI 2026
Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration ACL 2026
Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios EMNLP 2025
ProbPose: A Probabilistic Approach to 2D Human Pose Estimation CVPR 2025
Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics ACL 2025
KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction EMNLP 2025
Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels AAAI 2025
Proper losses regret at least 1/2-order JMLR 2025
Language Model Probabilities are Not Calibrated in Numeric Contexts ACL 2025
Enhancing In-context Learning via Linear Probe Calibration AISTATS 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex AISTATS 2024
Grammar-Aligned Decoding NIPS 2024
Perceptions of Linguistic Uncertainty by Language Models and Humans EMNLP 2024
Truthfulness of Calibration Measures NIPS 2024
Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know EACL 2024
Confidence Calibration of Classifiers with Many Classes NIPS 2024
Calibrating the Confidence of Large Language Models by Eliciting Fidelity EMNLP 2024
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token NIPS 2024
Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration EMNLP 2023
Beyond probability partitions: Calibrating neural networks with semantic aware grouping NIPS 2023
Probability Guided Loss for Long-Tailed Multi-Label Image Classification AAAI 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023
On the Calibration of Probabilistic Classifier Sets AISTATS 2023
RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data EMNLP 2023
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration AAAI 2023