Image de couverture de livre

Meta Prompting for AI Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Yifan, Yuan, Yang, Yao, Andrew Chi-Chih
Format:	Preprint
Publié:	2023
Sujets:	Artificial Intelligence Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the Diagram of Thought
par: Zhang, Yifan, et autres
Publié: (2024)

Monadic Context Engineering
par: Zhang, Yifan, et autres
Publié: (2025)

Probing the Lack of Stable Internal Beliefs in LLMs
par: Luo, Yifan, et autres
Publié: (2026)

Augmenting Math Word Problems via Iterative Question Composing
par: Liu, Haoxiong, et autres
Publié: (2024)

On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning
par: Zhang, Yifan, et autres
Publié: (2025)

Tensor Product Attention Is All You Need
par: Zhang, Yifan, et autres
Publié: (2025)

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts
par: Zhang, Yifan, et autres
Publié: (2024)

Group Representational Position Encoding
par: Zhang, Yifan, et autres
Publié: (2025)

System Prompt Optimization with Meta-Learning
par: Choi, Yumin, et autres
Publié: (2025)

Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoning
par: Fu, Yu, et autres
Publié: (2024)

SCOPE: A Generative Approach for LLM Prompt Compression
par: Zhang, Tinghui, et autres
Publié: (2025)

Prompt Optimization Is a Coin Flip: Diagnosing When It Helps in Compound AI Systems
par: Zhang, Xing, et autres
Publié: (2026)

A Multi-Source Heterogeneous Knowledge Injected Prompt Learning Method for Legal Charge Prediction
par: Sun, Jingyun, et autres
Publié: (2024)

ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning
par: Weng, Jinta, et autres
Publié: (2022)

A Taxonomy of Prompt Defects in LLM Systems
par: Tian, Haoye, et autres
Publié: (2025)

Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation
par: Yao, Zonghai, et autres
Publié: (2023)

MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking
par: Chen, Ting-Chih, et autres
Publié: (2024)

Benchmarking Cognitive Domains for LLMs: Insights from Taiwanese Hakka Culture
par: Chang, Chen-Chi, et autres
Publié: (2024)

Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
par: Zhang, Xinlu, et autres
Publié: (2023)

Effective Structured Prompting by Meta-Learning and Representative Verbalizer
par: Jiang, Weisen, et autres
Publié: (2023)

ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
par: Zhang, Qing, et autres
Publié: (2025)

Test-time Prompt Intervention
par: Yang, Chenxu, et autres
Publié: (2025)

Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization
par: Sun, Shichao, et autres
Publié: (2024)

On Meta-Prompting
par: de Wynter, Adrian, et autres
Publié: (2023)

Policy-as-Prompt: Turning AI Governance Rules into Guardrails for AI Agents
par: Kholkar, Gauri, et autres
Publié: (2025)

Cumulative Reasoning with Large Language Models
par: Zhang, Yifan, et autres
Publié: (2023)

Comparing LLM and Fine-Tuned Model Performance on NVDRS Circumstance Extraction with Varying Prompt Complexity
par: Martin, Geoffrey, et autres
Publié: (2026)

From Labor to Collaboration: A Methodological Experiment Using AI Agents to Augment Research Perspectives in Taiwan's Humanities and Social Sciences
par: Huang, Yi-Chih
Publié: (2026)

GCoT: Chain-of-Thought Prompt Learning for Graphs
par: Yu, Xingtong, et autres
Publié: (2025)

BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
par: Li, Jiangmeng, et autres
Publié: (2024)

Prompt-Counterfactual Explanations for Generative AI System Behavior
par: Goethals, Sofie, et autres
Publié: (2026)

Towards Automated Formal Verification of Backend Systems with LLMs
par: Xu, Kangping, et autres
Publié: (2025)

Tree-of-Text: A Tree-based Prompting Framework for Table-to-Text Generation in the Sports Domain
par: Chiang, Shang-Hsuan, et autres
Publié: (2026)

PromptRad: Knowledge-Enhanced Multi-Label Prompt-Tuning for Low-Resource Radiology Report Labeling
par: Lin, Ying-Jia, et autres
Publié: (2026)

CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
par: Feng, Yu, et autres
Publié: (2024)

PLPP: Prompt Learning with Perplexity Is Self-Distillation for Vision-Language Models
par: Liu, Biao, et autres
Publié: (2024)

A Closer Look at System Prompt Robustness
par: Mu, Norman, et autres
Publié: (2025)

MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation
par: Riaz, Haris, et autres
Publié: (2025)

PAFT: Prompt-Agnostic Fine-Tuning
par: Wei, Chenxing, et autres
Publié: (2025)

Automated Meta Prompt Engineering for Alignment with the Theory of Mind
par: Baughman, Aaron, et autres
Publié: (2025)