Cover Image

On Meta-Prompting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	de Wynter, Adrian, Wang, Xun, Gu, Qilong, Chen, Si-Qing
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence Machine Learning Category Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Evaluation on Large Language Model Outputs: Discourse and Memorization
by: de Wynter, Adrian, et al.
Published: (2023)

Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence
by: Wang, Fiona Y., et al.
Published: (2026)

DiagrammaticLearning: A Graphical Language for Compositional Training Regimes
by: Lary, Mason, et al.
Published: (2025)

LeanCat: A Benchmark Suite for Formal Category Theory in Lean (Part I: 1-Categories)
by: Xu, Rongge, et al.
Published: (2025)

Is In-Context Learning Learning?
by: de Wynter, Adrian
Published: (2025)

Transparent Semantic Spaces: A Categorical Approach to Explainable Word Embeddings
by: Fabregat-Hernández, Ares, et al.
Published: (2025)

Fundamental Components of Deep Learning: A category-theoretic approach
by: Gavranović, Bruno
Published: (2024)

Towards a Categorical Foundation of Deep Learning: A Survey
by: Crescenzi, Francesco Riccardo
Published: (2024)

Towards Compositional Interpretability for XAI
by: Tull, Sean, et al.
Published: (2024)

The Relativity of Causal Knowledge
by: D'Acunto, Gabriele, et al.
Published: (2025)

The Gauss-Markov Adjunction Provides Categorical Semantics of Residuals in Supervised Learning
by: Kamiura, Moto
Published: (2025)

A Multilingual, Culture-First Approach to Addressing Misgendering in LLM Applications
by: Sitaram, Sunayana, et al.
Published: (2025)

Position: Categorical Deep Learning is an Algebraic Theory of All Architectures
by: Gavranović, Bruno, et al.
Published: (2024)

Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning
by: Bakirtzis, Georgios, et al.
Published: (2024)

Functorial Neural Architectures from Higher Inductive Types
by: Sargsyan, Karen
Published: (2026)

Harness Engineering as Categorical Architecture
by: Banu, Bogdan
Published: (2026)

Language Modeling with Reduced Densities
by: Bradley, Tai-Danae, et al.
Published: (2020)

Collaboratively adding new knowledge to an LLM
by: Lee, Rhui Dih, et al.
Published: (2024)

In-context Autoencoder for Context Compression in a Large Language Model
by: Ge, Tao, et al.
Published: (2023)

A Category-theoretical Meta-analysis of Definitions of Disentanglement
by: Zhang, Yivan, et al.
Published: (2023)

Research on Personal Credit Risk Assessment Methods Based on Causal Inference
by: Wang, Jiaxin, et al.
Published: (2024)

Higher-Order DisCoCat (Peirce-Lambek-Montague semantics)
by: Toumi, Alexis, et al.
Published: (2023)

Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods
by: Hu, Xinyang, et al.
Published: (2024)

Categorical Belief Propagation: Sheaf-Theoretic Inference via Descent and Holonomy
by: ter Horst, Enrique, et al.
Published: (2026)

Structured Active Inference (Extended Abstract)
by: Smithe, Toby St Clere
Published: (2024)

Categorical Stochastic Processes and Likelihood
by: Shiebler, Dan
Published: (2020)

System Prompt Optimization with Meta-Learning
by: Choi, Yumin, et al.
Published: (2025)

Bayesian Networks, Markov Networks, Moralisation, Triangulation: a Categorical Perspective
by: Lorenzin, Antonio, et al.
Published: (2025)

An Algebraic Approach to Moralisation and Triangulation of Probabilistic Graphical Models
by: Lorenzin, Antonio, et al.
Published: (2025)

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

If LLMs Have Human-Like Attributes, Then So Does Age of Empires II
by: de Wynter, Adrian
Published: (2026)

MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation
by: Riaz, Haris, et al.
Published: (2025)

Effective Structured Prompting by Meta-Learning and Representative Verbalizer
by: Jiang, Weisen, et al.
Published: (2023)

Automated Meta Prompt Engineering for Alignment with the Theory of Mind
by: Baughman, Aaron, et al.
Published: (2025)

Using Enriched Category Theory to Construct the Nearest Neighbour Classification Algorithm
by: Pugh, Matthew, et al.
Published: (2023)

Reinforcement Learning in Categorical Cybernetics
by: Hedges, Jules, et al.
Published: (2024)

Stochastic Neural Network Symmetrisation in Markov Categories
by: Cornish, Rob
Published: (2024)

Learning Is a Kan Extension
by: Pugh, Matthew, et al.
Published: (2025)

Weaves, Wires, and Morphisms: Formalizing and Implementing the Algebra of Deep Learning
by: Abbott, Vincent, et al.
Published: (2026)

Learners' Languages
by: Spivak, David I.
Published: (2021)