Imagen de Portada

Reading Calibrated Uncertainty from Language Model Trajectories

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Eusebi, Aliai, Herzog, Alexander, Liang, Xiaoyu, Vasek, Marie, Mariconti, Enrico, Cavallaro, Lorenzo
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

On the Reliability and Stability of Selective Methods in Malware Classification Tasks
por: Herzog, Alexander, et al.
Publicado: (2025)

Systematic Review: Anomaly Detection in Connected and Autonomous Vehicles
por: Solaas, J. R. V., et al.
Publicado: (2024)

Application of AI-based Models for Online Fraud Detection and Analysis
por: Papasavva, Antonis, et al.
Publicado: (2024)

Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
por: Tassopoulou, Vasiliki, et al.
Publicado: (2025)

From Entropy to Calibrated Uncertainty: Training Language Models to Reason About Uncertainty
por: Jenane, Azza, et al.
Publicado: (2026)

Uncertainty Weighted Gradients for Model Calibration
por: Lin, Jinxu, et al.
Publicado: (2025)

CarBoN: Calibrated Best-of-N Sampling Improves Test-time Reasoning
por: Tang, Yung-Chen, et al.
Publicado: (2025)

Revisiting Uncertainty Estimation and Calibration of Large Language Models
por: Tao, Linwei, et al.
Publicado: (2025)

Uncertainty in Language Models: Assessment through Rank-Calibration
por: Huang, Xinmeng, et al.
Publicado: (2024)

Measuring Uncertainty Calibration
por: Ciosek, Kamil, et al.
Publicado: (2025)

Unified Uncertainty Calibration
por: Chaudhuri, Kamalika, et al.
Publicado: (2023)

Local Binary and Multiclass SVMs Trained on a Quantum Annealer
por: Zardini, Enrico, et al.
Publicado: (2024)

Demystifying the Mythos or Disrupting Bugonomics? From Zero-Day Asymmetry to Defender Remediation Throughput
por: Pesoli, Alfredo, et al.
Publicado: (2026)

On the Entropy Calibration of Language Models
por: Cao, Steven, et al.
Publicado: (2025)

Benchmarking Uncertainty Calibration in Large Language Model Long-Form Question Answering
por: Müller, Philip, et al.
Publicado: (2026)

Calibrated Physics-Informed Uncertainty Quantification
por: Gopakumar, Vignesh, et al.
Publicado: (2025)

Calibrated Large Language Models for Binary Question Answering
por: Giovannotti, Patrizio, et al.
Publicado: (2024)

Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
por: Tan, Mingkui, et al.
Publicado: (2024)

Adjusting Regression Models for Conditional Uncertainty Calibration
por: Gao, Ruijiang, et al.
Publicado: (2024)

Calibrated Uncertainty Sampling for Active Learning
por: Bui, Ha Manh, et al.
Publicado: (2025)

Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
por: He, Ping, et al.
Publicado: (2025)

Unraveling the Key of Machine Learning-based Android Malware Detection
por: Liu, Jiahao, et al.
Publicado: (2024)

Zero-shot image privacy classification with Vision-Language Models
por: Baia, Alina Elena, et al.
Publicado: (2025)

Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning
por: Krishnan, Ranganath, et al.
Publicado: (2024)

On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
por: Wang, Ziyu, et al.
Publicado: (2024)

On Uncertainty Calibration for Equivariant Functions
por: Berman, Edward, et al.
Publicado: (2025)

Diffusion-Inspired Reconfiguration of Transformers for Uncertainty Calibration
por: Dao, Manh Cuong, et al.
Publicado: (2026)

Enhanced Route Planning with Calibrated Uncertainty Set
por: Tang, Lingxuan, et al.
Publicado: (2025)

Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training
por: Dawood, Tareen, et al.
Publicado: (2024)

Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting
por: Kamarthi, Harshavardhan, et al.
Publicado: (2024)

Large-scale Uncertainty Quantification for Latent Variable Models Using Subsampling Markov Chain Monte Carlo
por: Wang, Xiaoyu, et al.
Publicado: (2026)

Learning Privacy from Visual Entities
por: Xompero, Alessio, et al.
Publicado: (2025)

On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss
por: Fellaji, Mohammed, et al.
Publicado: (2024)

Towards Certification of Uncertainty Calibration under Adversarial Attacks
por: Emde, Cornelius, et al.
Publicado: (2024)

Identifying Privacy Personas
por: Hrynenko, Olena, et al.
Publicado: (2024)

Calibrated Explanations: with Uncertainty Information and Counterfactuals
por: Lofstrom, Helena, et al.
Publicado: (2023)

Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
por: Neumeier, Marion, et al.
Publicado: (2024)

Leveraging Large Language Models for enzymatic reaction prediction and characterization
por: Di Fruscia, Lorenzo, et al.
Publicado: (2025)

Better Uncertainty Calibration via Proper Scores for Classification and Beyond
por: Gruber, Sebastian G., et al.
Publicado: (2022)

Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
por: Ma, Ziqi, et al.
Publicado: (2024)