Imagen de Portada

Automatic Generation of Python Programs Using Context-Free Grammars

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yamani, Kamel, Naïr, Marwa, Baghdadi, Riyadh
Formato:	Preprint
Publicado:	2024
Materias:	Programming Languages Computation and Language Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Curriculum Learning for Small Code Language Models
por: Naïr, Marwa, et al.
Publicado: (2024)

Data-efficient Performance Modeling via Pre-training
por: Liu, Chunting, et al.
Publicado: (2025)

A Deep Learning Model for Predicting Transformation Legality
por: Tiwari, Avani, et al.
Publicado: (2025)

Combining Neural Architecture Search and Automatic Code Optimization: A Survey
por: Bachiri, Inas, et al.
Publicado: (2024)

LOOPerSet: A Large-Scale Dataset for Data-Driven Polyhedral Compiler Optimization
por: Merouani, Massinissa, et al.
Publicado: (2025)

Agentic Auto-Scheduling: An Experimental Study of LLM-Guided Loop Optimization
por: Merouani, Massinissa, et al.
Publicado: (2025)

A Data-driven Analysis of Code Optimizations
por: Hakimi, Yacine, et al.
Publicado: (2025)

Pearl: Automatic Code Optimization Using Deep Reinforcement Learning
por: Lamouri, Djamel Rassem, et al.
Publicado: (2025)

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers
por: Merouani, Massinissa, et al.
Publicado: (2024)

Constrained Decoding of Diffusion LLMs with Context-Free Grammars
por: Mündler, Niels, et al.
Publicado: (2025)

Automatic Functional Differentiation in JAX
por: Lin, Min
Publicado: (2023)

Unraveling Syntax: How Language Models Learn Context-Free Grammars
por: Schulz, Laura Ying, et al.
Publicado: (2025)

Detecting and Explaining (In-)equivalence of Context-Free Grammars
por: Schmellenkamp, Marko, et al.
Publicado: (2024)

Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models
por: Wee, Phil, et al.
Publicado: (2024)

Automated Type Annotation in Python Using Large Language Models
por: Bharti, Varun, et al.
Publicado: (2025)

TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar
por: Li, Yinxi, et al.
Publicado: (2025)

vLLM Hook v0: A Plug-in for Programming Model Internals on vLLM
por: Ko, Ching-Yun, et al.
Publicado: (2026)

QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach
por: Dong, Shouyang, et al.
Publicado: (2025)

SynCode: LLM Generation with Grammar Augmentation
por: Ugare, Shubham, et al.
Publicado: (2024)

When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars
por: Higuchi, Rei, et al.
Publicado: (2025)

Self-Infilling Code Generation
por: Zheng, Lin, et al.
Publicado: (2023)

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

Grammar as a Behavioral Biometric: Using Cognitively Motivated Grammar Models for Authorship Verification
por: Nini, Andrea, et al.
Publicado: (2024)

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

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

More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation
por: Zi, Yangtian, et al.
Publicado: (2025)

MiniF2F in Rocq: Automatic Translation Between Proof Assistants -- A Case Study
por: Viennot, Jules, et al.
Publicado: (2025)

TocBERT: Medical Document Structure Extraction Using Bidirectional Transformers
por: Saleh, Majd, et al.
Publicado: (2024)

Context-Free Grammar Inference for Complex Programming Languages in Black Box Settings
por: Li, Feifei, et al.
Publicado: (2026)

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

Constrained Decoding for Fill-in-the-Middle Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars
por: Melcer, Daniel, et al.
Publicado: (2024)

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

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

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

Assured Automatic Programming via Large Language Models
por: Mirchev, Martin, et al.
Publicado: (2024)

Deep R Programming
por: Gagolewski, Marek
Publicado: (2022)

Understanding How CodeLLMs (Mis)Predict Types with Activation Steering
por: Lucchetti, Francesca, et al.
Publicado: (2024)

Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension
por: Qi, Mengnan, et al.
Publicado: (2024)

AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs
por: Pezeshkpour, Pouya, et al.
Publicado: (2026)

ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
por: Shi, Kensen, et al.
Publicado: (2023)