Imagen de Portada

Towards Generation-Efficient Uncertainty Estimation in Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhu, Mingcheng, Liu, Yu, Zhu, Tingting
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

From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction
por: Zhu, Mingcheng, et al.
Publicado: (2026)

The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records
por: Zhu, Mingcheng, et al.
Publicado: (2026)

Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction
por: Zhu, Mingcheng, et al.
Publicado: (2025)

Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
por: Chen, Tianyi, et al.
Publicado: (2025)

DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime
por: Luo, Zhiyao, et al.
Publicado: (2024)

Efficient Epistemic Uncertainty Estimation for Large Language Models via Knowledge Distillation
por: Park, Seonghyeon, et al.
Publicado: (2026)

CLUE: Concept-Level Uncertainty Estimation for Large Language Models
por: Wang, Yu-Hsiang, et al.
Publicado: (2024)

Are Large Language Models Dynamic Treatment Planners? An In Silico Study from a Prior Knowledge Injection Angle
por: Luo, Zhiyao, et al.
Publicado: (2025)

SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis
por: Liu, Yu, et al.
Publicado: (2025)

Towards Multimodal Graph Large Language Model
por: Wang, Xin, et al.
Publicado: (2025)

Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models
por: Hashimoto, Wataru, et al.
Publicado: (2025)

Towards the Worst-case Robustness of Large Language Models
por: Chen, Huanran, et al.
Publicado: (2025)

Efficient Sequential Decision Making with Large Language Models
por: Chen, Dingyang, et al.
Publicado: (2024)

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

Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models
por: Nguyen, Manh, et al.
Publicado: (2025)

Towards Efficient Automatic Self-Pruning of Large Language Models
por: Huang, Weizhong, et al.
Publicado: (2025)

C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
por: Rahmati, Amir Hossein, et al.
Publicado: (2025)

A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data
por: Ghosheh, Ghadeer O., et al.
Publicado: (2024)

Towards Understanding Valuable Preference Data for Large Language Model Alignment
por: Zhang, Zizhuo, et al.
Publicado: (2025)

Fault-Tolerant Evaluation for Sample-Efficient Model Performance Estimators
por: Zhu, Zihan, et al.
Publicado: (2026)

SConU: Selective Conformal Uncertainty in Large Language Models
por: Wang, Zhiyuan, et al.
Publicado: (2025)

Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection
por: Lim, Ying Fu, et al.
Publicado: (2025)

Packed-Ensembles for Efficient Uncertainty Estimation
por: Laurent, Olivier, et al.
Publicado: (2022)

SDMPrune: Self-Distillation MLP Pruning for Efficient Large Language Models
por: Zhu, Hourun, et al.
Publicado: (2025)

Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
por: Bui, Ha Manh, et al.
Publicado: (2023)

Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
por: Nguyen, Manh, et al.
Publicado: (2025)

Toward Efficient Exploration by Large Language Model Agents
por: Arumugam, Dilip, et al.
Publicado: (2025)

Standing on the Shoulders of Giants: Rethinking EEG Foundation Model Pretraining via Multi-Teacher Distillation
por: Li, Chenqi, et al.
Publicado: (2026)

Towards Explainable Traffic Flow Prediction with Large Language Models
por: Guo, Xusen, et al.
Publicado: (2024)

A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
por: Ghosheh, Ghadeer, et al.
Publicado: (2022)

Detecting Misbehaviors of Large Vision-Language Models by Evidential Uncertainty Quantification
por: Huang, Tao, et al.
Publicado: (2026)

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
por: Lin, Zhen, et al.
Publicado: (2023)

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
por: Dai, Runpeng, et al.
Publicado: (2025)

On the Importance of Uncertainty in Decision-Making with Large Language Models
por: Felicioni, Nicolò, et al.
Publicado: (2024)

Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
por: Cao, Qi, et al.
Publicado: (2026)

GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models
por: Wang, Tuo, et al.
Publicado: (2025)

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
por: Zhang, Tunyu, et al.
Publicado: (2025)

Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models
por: Liu, Xinyuan, et al.
Publicado: (2025)

Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models
por: Lin, Junhong, et al.
Publicado: (2025)

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models
por: Bai, Guangji, et al.
Publicado: (2024)