Cover Image

On Uncertainty In Natural Language Processing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ulmer, Dennis
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Shared Doubt: Zero-shot Cross-Lingual Confidence Estimation for Language Models
by: Kyriakou, Athina, et al.
Published: (2026)

Non-Exchangeable Conformal Language Generation with Nearest Neighbors
by: Ulmer, Dennis, et al.
Published: (2024)

Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
by: Hashimoto, Wataru, et al.
Published: (2024)

Calibrating Large Language Models Using Their Generations Only
by: Ulmer, Dennis, et al.
Published: (2024)

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

Causality for Natural Language Processing
by: Jin, Zhijing
Published: (2025)

Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing
by: Ulmer, Dennis, et al.
Published: (2025)

Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish
by: Woldaregay, Ashenafi Zebene, et al.
Published: (2025)

Research on Optimization of Natural Language Processing Model Based on Multimodal Deep Learning
by: Sun, Dan, et al.
Published: (2024)

Building Safe and Deployable Clinical Natural Language Processing under Temporal Leakage Constraints
by: Cho, Ha Na, et al.
Published: (2026)

SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing
by: Oyeyemi, Dare Azeez, et al.
Published: (2024)

From Explainable to Interpretable Deep Learning for Natural Language Processing in Healthcare: How Far from Reality?
by: Huang, Guangming, et al.
Published: (2024)

Tracing Uncertainty in Language Model "Reasoning"
by: Grünefeld, Nils, et al.
Published: (2026)

TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
by: Gubri, Martin, et al.
Published: (2024)

Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
by: Hu, Zhiyuan, et al.
Published: (2024)

More Bang for the Buck: Process Reward Modeling with Entropy-Driven Uncertainty
by: Cao, Lang, et al.
Published: (2025)

Perceptions of Linguistic Uncertainty by Language Models and Humans
by: Belem, Catarina G, et al.
Published: (2024)

Natural Language Reinforcement Learning
by: Feng, Xidong, et al.
Published: (2024)

Natural Language Reinforcement Learning
by: Feng, Xidong, et al.
Published: (2024)

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

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

The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
by: Xiao, Quan, et al.
Published: (2025)

ViCLSR: A Supervised Contrastive Learning Framework with Natural Language Inference for Natural Language Understanding Tasks
by: Van Huynh, Tin, et al.
Published: (2026)

Representational Curvature Modulates Behavioral Uncertainty in Large Language Models
by: King, Jack, et al.
Published: (2026)

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

Learning to Compress Prompt in Natural Language Formats
by: Chuang, Yu-Neng, et al.
Published: (2024)

LILO: Bayesian Optimization with Natural Language Feedback
by: Kobalczyk, Katarzyna, et al.
Published: (2025)

DeLLMa: Decision Making Under Uncertainty with Large Language Models
by: Liu, Ollie, et al.
Published: (2024)

Graph-based Uncertainty Metrics for Long-form Language Model Outputs
by: Jiang, Mingjian, et al.
Published: (2024)

Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings
by: Grewal, Yashvir S., et al.
Published: (2024)

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

UQLM: A Python Package for Uncertainty Quantification in Large Language Models
by: Bouchard, Dylan, et al.
Published: (2025)

Report Cards: Qualitative Evaluation of Language Models Using Natural Language Summaries
by: Yang, Blair, et al.
Published: (2024)

Clarify: Improving Model Robustness With Natural Language Corrections
by: Lee, Yoonho, et al.
Published: (2024)

Adaptive Elicitation of Latent Information Using Natural Language
by: Wang, Jimmy, et al.
Published: (2025)

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

Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
by: Lee, JoonHo, et al.
Published: (2024)

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
by: Wang, Zhiyuan, et al.
Published: (2024)

Trustworthy Summarization via Uncertainty Quantification and Risk Awareness in Large Language Models
by: Pan, Shuaidong, et al.
Published: (2025)