Cover Image

Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rocha, Filipe Marinho, Dutra, Inês, Costa, Vítor Santos
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Programming Languages
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
by: Wei, Anjiang, et al.
Published: (2025)

ReGAL: Refactoring Programs to Discover Generalizable Abstractions
by: Stengel-Eskin, Elias, et al.
Published: (2024)

Hexcute: A Compiler Framework for Automating Layout Synthesis in GPU Programs
by: Zhang, Xiao, et al.
Published: (2025)

Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines
by: Lin, Yu-An, et al.
Published: (2023)

Quokka: Accelerating Program Verification with LLMs via Invariant Synthesis
by: Wei, Anjiang, et al.
Published: (2025)

EcoSearch: A Constant-Delay Best-First Search Algorithm for Program Synthesis
by: Matricon, Théo, et al.
Published: (2024)

Neural Task Synthesis for Visual Programming
by: Pădurean, Victor-Alexandru, et al.
Published: (2023)

The Elements of Differentiable Programming
by: Blondel, Mathieu, et al.
Published: (2024)

EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths
by: Li, Zhening, et al.
Published: (2025)

Emergent Representations of Program Semantics in Language Models Trained on Programs
by: Jin, Charles, et al.
Published: (2023)

Probabilistic Programming with Programmable Variational Inference
by: Becker, McCoy R., et al.
Published: (2024)

AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents
by: Xu, Shuyuan, et al.
Published: (2024)

Prism: Symbolic Superoptimization of Tensor Programs
by: Wu, Mengdi, et al.
Published: (2026)

Self-Supervised Inductive Logic Programming
by: Patsantzis, Stassa
Published: (2025)

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
by: Dong, Honghua, et al.
Published: (2024)

Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
by: Lai, Ruihang, et al.
Published: (2023)

Mirage: A Multi-Level Superoptimizer for Tensor Programs
by: Wu, Mengdi, et al.
Published: (2024)

Program Semantic Inequivalence Game with Large Language Models
by: Miceli-Barone, Antonio Valerio, et al.
Published: (2025)

Generating Pragmatic Examples to Train Neural Program Synthesizers
by: Vaduguru, Saujas, et al.
Published: (2023)

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation
by: Ding, Yaoyao, et al.
Published: (2025)

GLIDR: Graph-Like Inductive Logic Programming with Differentiable Reasoning
by: Johnson, Blair, et al.
Published: (2025)

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems
by: Khan, Zaid, et al.
Published: (2025)

EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence Checking
by: Wei, Anjiang, et al.
Published: (2025)

What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces
by: Armengol-Estapé, Jordi, et al.
Published: (2025)

Is Programming by Example solved by LLMs?
by: Li, Wen-Ding, et al.
Published: (2024)

Bridging the Knowledge Void: Inference-time Acquisition of Unfamiliar Programming Languages for Coding Tasks
by: Shen, Chen, et al.
Published: (2026)

Towards Probabilistic Inductive Logic Programming with Neurosymbolic Inference and Relaxation
by: Hillerstrom, Fieke, et al.
Published: (2024)

Differentiable Inductive Logic Programming for Fraud Detection
by: Wolfson, Boris, et al.
Published: (2024)

Once Upon an Input: Reasoning via Per-Instance Program Synthesis
by: Stein, Adam, et al.
Published: (2025)

Vector Symbolic Algebras for the Abstraction and Reasoning Corpus
by: Joffe, Isaac, et al.
Published: (2025)

Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning
by: Luo, Ziyan, et al.
Published: (2023)

Lattice Annotated Temporal (LAT) Logic for Non-Markovian Reasoning
by: Mukherji, Kaustuv, et al.
Published: (2025)

MTP: A Meaning-Typed Language Abstraction for AI-Integrated Programming
by: Dantanarayana, Jayanaka L., et al.
Published: (2024)

SLR: Automated Synthesis for Scalable Logical Reasoning
by: Helff, Lukas, et al.
Published: (2025)

ScenicNL: Generating Probabilistic Scenario Programs from Natural Language
by: Elmaaroufi, Karim, et al.
Published: (2024)

A Joint Learning Model with Variational Interaction for Multilingual Program Translation
by: Du, Yali, et al.
Published: (2024)

Explaining Explanations in Probabilistic Logic Programming
by: Vidal, Germán
Published: (2024)

A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions
by: Mell, Stephen, et al.
Published: (2025)

Competitive Programming with Large Reasoning Models
by: OpenAI, et al.
Published: (2025)

Modelling Program Spaces in Program Synthesis with Constraints
by: Hinnerichs, Tilman, et al.
Published: (2025)