Cover Image

How Programming Concepts and Neurons Are Shared in Code Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kargaran, Amir Hossein, Liu, Yihong, Yvon, François, Schütze, Hinrich
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Programming Languages Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MaskLID: Code-Switching Language Identification through Iterative Masking
by: Kargaran, Amir Hossein, et al.
Published: (2024)

GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
by: Kargaran, Amir Hossein, et al.
Published: (2024)

GlotScript: A Resource and Tool for Low Resource Writing System Identification
by: Kargaran, Amir Hossein, et al.
Published: (2023)

GIRT-Model: Automated Generation of Issue Report Templates
by: Nikeghbal, Nafiseh, et al.
Published: (2024)

GlotLID: Language Identification for Low-Resource Languages
by: Kargaran, Amir Hossein, et al.
Published: (2023)

On Relation-Specific Neurons in Large Language Models
by: Liu, Yihong, et al.
Published: (2025)

LLMigrate: Transforming "Lazy" Large Language Models into Efficient Source Code Migrators
by: Liu, Yuchen, et al.
Published: (2025)

Semantic Source Code Segmentation using Small and Large Language Models
by: Dahou, Abdelhalim, et al.
Published: (2025)

SWE-QA: Can Language Models Answer Repository-level Code Questions?
by: Peng, Weihan, et al.
Published: (2025)

CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)

Mix-of-Language-Experts Architecture for Multilingual Programming
by: Zong, Yifan, et al.
Published: (2025)

Strengthening Programming Comprehension in Large Language Models through Code Generation
by: Ren, Xiaoning, et al.
Published: (2025)

PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
by: Chen, Simin, et al.
Published: (2024)

Benchmarking LLM Code Generation for Audio Programming with Visual Dataflow Languages
by: Zhang, William, et al.
Published: (2024)

GlotOCR Bench: OCR Models Still Struggle Beyond a Handful of Unicode Scripts
by: Kargaran, Amir Hossein, et al.
Published: (2026)

AutoCode: LLMs as Problem Setters for Competitive Programming
by: Zhou, Shang, et al.
Published: (2025)

Concept-Based Generic Programming in C++
by: Stroustrup, Bjarne
Published: (2025)

HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization
by: Peng, Qiwei, et al.
Published: (2024)

PerfCodeBench: Benchmarking LLMs for System-Level High-Performance Code Optimization
by: Jing, Huihao, et al.
Published: (2026)

How Transliterations Improve Crosslingual Alignment
by: Liu, Yihong, et al.
Published: (2024)

NExT: Teaching Large Language Models to Reason about Code Execution
by: Ni, Ansong, et al.
Published: (2024)

Refactoring Programs Using Large Language Models with Few-Shot Examples
by: Shirafuji, Atsushi, et al.
Published: (2023)

How Natural Language Proficiency Shapes GenAI Code for Software Engineering Tasks
by: Rojpaisarnkit, Ruksit, et al.
Published: (2025)

Deduplicating and Ranking Solution Programs for Suggesting Reference Solutions
by: Shirafuji, Atsushi, et al.
Published: (2023)

Generating Equivalent Representations of Code By A Self-Reflection Approach
by: Li, Jia, et al.
Published: (2024)

Evaluating Program Semantics Reasoning with Type Inference in System F
by: He, Yifeng, et al.
Published: (2025)

Revisiting Code Similarity Evaluation with Abstract Syntax Tree Edit Distance
by: Song, Yewei, et al.
Published: (2024)

LLMs Lean on Priors, Not Programming Language Semantics
by: Thimmaiah, Aditya, et al.
Published: (2025)

Functional Consistency of LLM Code Embeddings: A Self-Evolving Data Synthesis Framework for Benchmarking
by: Li, Zhuohao, et al.
Published: (2025)

LPR: Large Language Models-Aided Program Reduction
by: Zhang, Mengxiao, et al.
Published: (2023)

SuperCoder: Assembly Program Superoptimization with Large Language Models
by: Wei, Anjiang, et al.
Published: (2025)

Tracing Multilingual Factual Knowledge Acquisition in Pretraining
by: Liu, Yihong, et al.
Published: (2025)

VisCoder2: Building Multi-Language Visualization Coding Agents
by: Ni, Yuansheng, et al.
Published: (2025)

Neural Models for Source Code Synthesis and Completion
by: Niyogi, Mitodru
Published: (2024)

LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language
by: Wang, Ming, et al.
Published: (2024)

Scalable, Validated Code Translation of Entire Projects using Large Language Models
by: Zhang, Hanliang, et al.
Published: (2024)

SwiftEval: Developing a Language-Specific Benchmark for LLM-generated Code Evaluation
by: Petrukha, Ivan, et al.
Published: (2025)

Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates
by: Hooda, Ashish, et al.
Published: (2024)

COBOL-Coder: Domain-Adapted Large Language Models for COBOL Code Generation and Translation
by: Dau, Anh T. V., et al.
Published: (2026)

Vulnerability Detection with Code Language Models: How Far Are We?
by: Ding, Yangruibo, et al.
Published: (2024)