Imagen de Portada

What Makes a Good Natural Language Prompt?

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Long, Do Xuan, Dinh, Duy, Nguyen, Ngoc-Hai, Kawaguchi, Kenji, Chen, Nancy F., Joty, Shafiq, Kan, Min-Yen
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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)

Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models
por: Long, Do Xuan, et al.
Publicado: (2024)

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

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

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
por: Nguyen, Xuan-Phi, et al.
Publicado: (2023)

On Context Utilization in Summarization with Large Language Models
por: Ravaut, Mathieu, et al.
Publicado: (2023)

Unsupervised Summarization Re-ranking
por: Ravaut, Mathieu, et al.
Publicado: (2022)

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

ParaICL: Towards Parallel In-Context Learning
por: Li, Xingxuan, et al.
Publicado: (2024)

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

Exploring Self-supervised Logic-enhanced Training for Large Language Models
por: Jiao, Fangkai, et al.
Publicado: (2023)

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

NAACL2025 Tutorial: Adaptation of Large Language Models
por: Ke, Zixuan, et al.
Publicado: (2025)

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing
por: Jiao, Fangkai, et al.
Publicado: (2024)

J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization
por: Xu, Austin, et al.
Publicado: (2025)

The Emergence of Abstract Thought in Large Language Models Beyond Any Language
por: Chen, Yuxin, et al.
Publicado: (2025)

Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction
por: Shi, Zhenmei, et al.
Publicado: (2024)

Preference Optimization for Reasoning with Pseudo Feedback
por: Jiao, Fangkai, et al.
Publicado: (2024)

What Makes Language Models Good-enough?
por: Asami, Daiki, et al.
Publicado: (2024)

R2GQA: Retriever-Reader-Generator Question Answering System to Support Students Understanding Legal Regulations in Higher Education
por: Do, Phuc-Tinh Pham, et al.
Publicado: (2024)

Demystifying Domain-adaptive Post-training for Financial LLMs
por: Ke, Zixuan, et al.
Publicado: (2025)

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
por: Ming, Yifei, et al.
Publicado: (2024)

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
por: Chen, Hailin, et al.
Publicado: (2023)

Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math
por: Pandit, Shrey, et al.
Publicado: (2025)

Comparative Opinion Mining in Product Reviews: Multi-perspective Prompt-based Learning
por: Nguyen, Hai-Yen Thi, et al.
Publicado: (2024)

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization
por: Li, Chuyuan, et al.
Publicado: (2025)

On Positional Bias of Faithfulness for Long-form Summarization
por: Wan, David, et al.
Publicado: (2024)

Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains
por: Xu, Austin, et al.
Publicado: (2025)

Synthesizing Agentic Data for Web Agents with Progressive Difficulty Enhancement Mechanisms
por: Pandit, Shrey, et al.
Publicado: (2025)

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems
por: Ke, Zixuan, et al.
Publicado: (2025)

Guiding Through Complexity: What Makes Good Supervision for Hard Math Reasoning Tasks?
por: He, Xuan, et al.
Publicado: (2024)

Evaluating Psychological Safety of Large Language Models
por: Li, Xingxuan, et al.
Publicado: (2022)

Automatic Prompt Selection for Large Language Models
por: Do, Viet-Tung, et al.
Publicado: (2024)

Lifelong Event Detection with Embedding Space Separation and Compaction
por: Qin, Chengwei, et al.
Publicado: (2024)

Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
por: Tu, Lifu, et al.
Publicado: (2023)

MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision
por: Ke, Zixuan, et al.
Publicado: (2025)

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

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents
por: Nguyen, Xuan-Phi, et al.
Publicado: (2025)

Prompt Leakage effect and defense strategies for multi-turn LLM interactions
por: Agarwal, Divyansh, et al.
Publicado: (2024)