Imagen de Portada

Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Long, Do Xuan, Yen, Duong Ngoc, Luu, Anh Tuan, Kawaguchi, Kenji, Kan, Min-Yen, Chen, Nancy F.
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines
por: Long, Do Xuan, et al.
Publicado: (2025)

Aligning Large Language Models with Human Opinions through Persona Selection and Value--Belief--Norm Reasoning
por: Long, Do Xuan, et al.
Publicado: (2023)

What Makes a Good Natural Language Prompt?
por: Long, Do Xuan, et al.
Publicado: (2025)

A Comparative Analysis of Contextual Representation Flow in State-Space and Transformer Architectures
por: Hoang, Nhat M., et al.
Publicado: (2025)

LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs
por: Long, Do Xuan, et al.
Publicado: (2024)

ToXCL: A Unified Framework for Toxic Speech Detection and Explanation
por: Hoang, Nhat M., et al.
Publicado: (2024)

Discrete Diffusion Language Model for Efficient Text Summarization
por: Dat, Do Huu, et al.
Publicado: (2024)

Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models
por: Srey, Ponhvoan, et al.
Publicado: (2026)

ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations
por: Pham, Quang Hieu, et al.
Publicado: (2025)

ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions
por: Van Long, Phuoc Pham, et al.
Publicado: (2023)

Discursive Circuits: How Do Language Models Understand Discourse Relations?
por: Miao, Yisong, et al.
Publicado: (2025)

DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation
por: Li, Minzhi, et al.
Publicado: (2024)

Exploring the Potential of Large Language Models in Computational Argumentation
por: Chen, Guizhen, et al.
Publicado: (2023)

Prompt Optimization via Adversarial In-Context Learning
por: Do, Xuan Long, et al.
Publicado: (2023)

Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
por: Zhao, Yiran, et al.
Publicado: (2024)

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

CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
por: Li, Minzhi, et al.
Publicado: (2023)

More Bias, Less Bias: BiasPrompting for Enhanced Multiple-Choice Question Answering
por: Vu, Duc Anh, et al.
Publicado: (2025)

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

Are Knowledge and Reference in Multilingual Language Models Cross-Lingually Consistent?
por: Ai, Xi, et al.
Publicado: (2025)

UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages
por: Pham, Trinh, et al.
Publicado: (2024)

Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models
por: Liu, Chaoqun, et al.
Publicado: (2024)

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models
por: Xu, Xiao, et al.
Publicado: (2024)

Reasoning Robustness of LLMs to Adversarial Typographical Errors
por: Gan, Esther, et al.
Publicado: (2024)

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

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

Mercury: A Code Efficiency Benchmark for Code Large Language Models
por: Du, Mingzhe, et al.
Publicado: (2024)

An Active Inference Strategy for Prompting Reliable Responses from Large Language Models in Medical Practice
por: Shusterman, Roma, et al.
Publicado: (2024)

SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA
por: Zhang, Siyue, et al.
Publicado: (2024)

Investigating Layer Importance in Large Language Models
por: Zhang, Yang, et al.
Publicado: (2024)

GitSearch: Enhancing Community Notes Generation with Gap-Informed Targeted Search
por: Singh, Sahajpreet, et al.
Publicado: (2026)

Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment
por: Nguyen, Cong-Duy, et al.
Publicado: (2023)

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

Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers
por: Nguyen, Viet-Anh, et al.
Publicado: (2025)

Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization
por: Feng, Xiachong, et al.
Publicado: (2023)

CommunityFact: A Dynamic, Multilingual, Multi-domain Benchmark for Misinformation Detection in the Wild
por: Singh, Sahajpreet, et al.
Publicado: (2026)

Linguistically Informed Multimodal Fusion for Vietnamese Scene-Text Image Captioning: Dataset, Graph Framework, and Phonological Attention
por: Nguyen, Nhi Ngoc-Yen, et al.
Publicado: (2026)

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

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

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