Imagen de Portada

Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Srey, Ponhvoan, Nguyen, Quang Minh, Wu, Xiaobao, Luu, Anh Tuan
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learning Uncertainty from Sequential Internal Dispersion in Large Language Models
por: Srey, Ponhvoan, et al.
Publicado: (2026)

Unsupervised Hallucination Detection by Inspecting Reasoning Processes
por: Srey, Ponhvoan, et al.
Publicado: (2025)

A Survey on Neural Topic Models: Methods, Applications, and Challenges
por: Wu, Xiaobao, et al.
Publicado: (2024)

Towards the TopMost: A Topic Modeling System Toolkit
por: Wu, Xiaobao, et al.
Publicado: (2023)

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
por: Wu, Xiaobao, et al.
Publicado: (2024)

Who's Who: Large Language Models Meet Knowledge Conflicts in Practice
por: Pham, Quang Hieu, et al.
Publicado: (2024)

FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
por: Wu, Xiaobao, et al.
Publicado: (2024)

AKEW: Assessing Knowledge Editing in the Wild
por: Wu, Xiaobao, et al.
Publicado: (2024)

P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
por: Zhao, Shuai, et al.
Publicado: (2025)

VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models
por: Dong, Nguyen Tien, et al.
Publicado: (2025)

Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation
por: Feng, Yichao, et al.
Publicado: (2025)

ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification
por: Luu, Son T., et al.
Publicado: (2024)

A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
por: Zhao, Shuai, et al.
Publicado: (2024)

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models
por: Xiong, Guangzhi, et al.
Publicado: (2025)

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

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation
por: Zhao, Shuai, et al.
Publicado: (2024)

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
por: Zhao, Shuai, et al.
Publicado: (2024)

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
por: Zhao, Shuai, et al.
Publicado: (2023)

XMainframe: A Large Language Model for Mainframe Modernization
por: Dau, Anh T. V., et al.
Publicado: (2024)

TriAlign: Towards Universal Truth Consistency in Personalized LLM Alignment
por: Nguyen, Thi-Nhung, et al.
Publicado: (2026)

Breaking PEFT Limitations: Leveraging Weak-to-Strong Knowledge Transfer for Backdoor Attacks in LLMs
por: Zhao, Shuai, et al.
Publicado: (2024)

CSD-VAR: Content-Style Decomposition in Visual Autoregressive Models
por: Nguyen, Quang-Binh, et al.
Publicado: (2025)

Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration
por: Mao, Xin, et al.
Publicado: (2024)

Training-Free Cultural Alignment of Large Language Models via Persona Disagreement
por: Kiet, Huynh Trung, et al.
Publicado: (2026)

Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning
por: Chen, Zhongzhi, et al.
Publicado: (2023)

NOWJ@COLIEE 2025: A Multi-stage Framework Integrating Embedding Models and Large Language Models for Legal Retrieval and Entailment
por: Nguyen, Hoang-Trung, et al.
Publicado: (2025)

Uncertainty Estimation of Large Language Models in Medical Question Answering
por: Wu, Jiaxin, et al.
Publicado: (2024)

A Survey of Theory of Mind in Large Language Models: Evaluations, Representations, and Safety Risks
por: Nguyen, Hieu Minh "Jord"
Publicado: (2025)

Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges
por: Ding, Bosheng, et al.
Publicado: (2024)

Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
por: Zhou, Tianyi, et al.
Publicado: (2025)

Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity
por: Zhao, Shuai, et al.
Publicado: (2025)

KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning
por: Nguyen, Cong-Duy, et al.
Publicado: (2024)

Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models
por: Nguyen, Hai-Long, et al.
Publicado: (2024)

TruthEval: A Dataset to Evaluate LLM Truthfulness and Reliability
por: Khatun, Aisha, et al.
Publicado: (2024)

Aligning Large Language Models with Searcher Preferences
por: Wu, Wei, et al.
Publicado: (2026)

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
por: Luo, Haoran, et al.
Publicado: (2025)

Automated Web Application Testing: End-to-End Test Case Generation with Large Language Models and Screen Transition Graphs
por: Le, Nguyen-Khang, et al.
Publicado: (2025)

ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models
por: Nguyen, Trong-Hieu, et al.
Publicado: (2024)

Vision-and-Language Pretraining
por: Nguyen, Thong, et al.
Publicado: (2022)

Tracking the Truth: Object-Centric Spatio-Temporal Monitoring for Video Large Language Models
por: Cao, Tri, et al.
Publicado: (2026)