Image de couverture de livre

ALPINE: An adaptive language-agnostic pruning method for language models for code

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Saad, Mootez, López, José Antonio Hernández, Chen, Boqi, Varró, Dániel, Sharma, Tushar
Format:	Preprint
Publié:	2024
Sujets:	Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Hierarchical Evaluation of Software Design Capabilities of Large Language Models of Code
par: Saad, Mootez, et autres
Publié: (2025)

SENAI: Towards Software Engineering Native Generative Artificial Intelligence
par: Saad, Mootez, et autres
Publié: (2025)

On Inter-dataset Code Duplication and Data Leakage in Large Language Models
par: López, José Antonio Hernández, et autres
Publié: (2024)

CONCORD: Towards a DSL for Configurable Graph Code Representation
par: Saad, Mootez, et autres
Publié: (2024)

Tu(r)ning AI Green: Exploring Energy Efficiency Cascading with Orthogonal Optimizations
par: Rajput, Saurabhsingh, et autres
Publié: (2025)

On the Effect of Token Merging on Pre-trained Models for Code
par: Saad, Mootez, et autres
Publié: (2025)

The Power of Types: Exploring the Impact of Type Checking on Neural Bug Detection in Dynamically Typed Languages
par: Chen, Boqi, et autres
Publié: (2024)

SHERPA: A Model-Driven Framework for Large Language Model Execution
par: Chen, Boqi, et autres
Publié: (2025)

LastMerge: A language-agnostic structured tool for code integration
par: Duarte, Joao Pedro, et autres
Publié: (2025)

LLM-based Satisfiability Checking of String Requirements by Consistent Data and Checker Generation
par: Chen, Boqi, et autres
Publié: (2025)

JunoBench: A Benchmark Dataset of Crashes in Python Machine Learning Jupyter Notebooks
par: Wang, Yiran, et autres
Publié: (2025)

Runtime-Augmented LLMs for Crash Detection and Diagnosis in ML Notebooks
par: Wang, Yiran, et autres
Publié: (2026)

Generative AI in Simulation-Based Test Environments for Large-Scale Cyber-Physical Systems: An Industrial Study
par: Sadrnezhaad, Masoud, et autres
Publié: (2025)

Generating refactored code accurately using reinforcement learning
par: Palit, Indranil, et autres
Publié: (2024)

A framework for assessing the capabilities of code generation of constraint domain-specific languages with large language models
par: Delgado, David, et autres
Publié: (2026)

Why do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks
par: Wang, Yiran, et autres
Publié: (2024)

Projectional Decoding: Towards Semantic-Aware LLM Generation
par: Chen, Boqi, et autres
Publié: (2026)

EnseSmells: Deep ensemble and programming language models for automated code smells detection
par: Ho, Anh, et autres
Publié: (2025)

Concretization of Abstract Traffic Scene Specifications Using Metaheuristic Search
par: Babikian, Aren A., et autres
Publié: (2023)

What a diff makes: automating code migration with large language models
par: Rosenfeld, Katherine A., et autres
Publié: (2025)

Large language models for behavioral modeling: A literature survey
par: Laiq, Muhammad
Publié: (2025)

Large language models for generating rules, yay or nay?
par: Sivasothy, Shangeetha, et autres
Publié: (2024)

An approach for API synthesis using large language models
par: Zhong, Hua, et autres
Publié: (2025)

Energy Flow Graph: Modeling Software Energy Consumption
par: Rajput, Saurabhsingh, et autres
Publié: (2026)

CodeGreen: Towards Improving Precision and Portability in Software Energy Measurement
par: Rajput, Saurabhsingh, et autres
Publié: (2026)

SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents
par: Rashid, Muhammad Shihab, et autres
Publié: (2025)

Smart but Costly? Benchmarking LLMs on Functional Accuracy and Energy Efficiency
par: Mehditabar, Mohammadjavad, et autres
Publié: (2025)

Evaluation of large language models for assessing code maintainability
par: Dillmann, Marc, et autres
Publié: (2024)

SPVR: syntax-to-prompt vulnerability repair based on large language models
par: Wang, Ruoke, et autres
Publié: (2024)

Overcoming linguistic barriers in code assistants: creating a QLoRA adapter to improve support for Russian-language code writing instructions
par: Pronin, C. B., et autres
Publié: (2024)

Octopus: On-device language model for function calling of software APIs
par: Chen, Wei, et autres
Publié: (2024)

Evaluating LLM-generated code for domain-specific languages: molecular dynamics with LAMMPS
par: Holbrook, Ethan, et autres
Publié: (2026)

A Validated Taxonomy on Software Energy Smells
par: Mehditabar, Mohammadjavad, et autres
Publié: (2026)

Towards a unified user modeling language for engineering human centered AI systems
par: Conrardy, Aaron, et autres
Publié: (2025)

The importance of visual modelling languages in generative software engineering
par: Rossi, Roberto
Publié: (2024)

On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository
par: Ajibode, Adekunle, et autres
Publié: (2025)

CFD-copilot: leveraging domain-adapted large language model and model context protocol to enhance simulation automation
par: Dong, Zhehao, et autres
Publié: (2025)

Comparing large language models and human programmers for generating programming code
par: Hou, Wenpin, et autres
Publié: (2024)

Insights into resource utilization of code small language models serving with runtime engines and execution providers
par: Durán, Francisco, et autres
Publié: (2024)

MCeT: Behavioral Model Correctness Evaluation using Large Language Models
par: Ahmed, Khaled, et autres
Publié: (2025)