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Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-59762-7_2openalex-snapshot
Automated Unit Test Generation for Python
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CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models
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Understanding the Factors That Impact the Popularity of GitHub Repositories
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ZeRO: Memory optimizations Toward Training Trillion Parameter Models
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On the Impact of Language Selection for Training and Evaluating Programming Language Models
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MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation
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An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
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Multilingual training for software engineering
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Productivity assessment of neural code completion
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On the transferability of pre-trained language models for low-resource programming languages
inferredcites →https://doi.org/10.1145/3580305.3599790openalex-snapshot
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
inferredcites →https://doi.org/10.1145/3581641.3584037openalex-snapshot
The Programmer’s Assistant: Conversational Interaction with a Large Language Model for Software Development
inferredcites →https://doi.org/10.1145/3597503.3639121openalex-snapshot
Fuzz4All: Universal Fuzzing with Large Language Models
inferredcites →https://doi.org/10.1145/3597503.3639187openalex-snapshot
Using an LLM to Help With Code Understanding
inferredcites →https://doi.org/10.1145/3597503.3639226openalex-snapshot
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code
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Data Race Detection Using Large Language Models
inferredcites →https://doi.org/10.1145/800233.807050openalex-snapshot
English as a very high level language for simulation programming
inferredcites →https://doi.org/10.1609/aaai.v37i4.25642openalex-snapshot
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
inferredcites →https://doi.org/10.3115/1218955.1219032openalex-snapshot
Automatic evaluation of machine translation quality using longest common subsequence and skip-bigram statistics
inferredcites →https://doi.org/10.4230/lipics.cp.2024.29openalex-snapshot
Mutational Fuzz Testing for Constraint Modeling Systems
inferredcites →https://doi.org/10.48550/arxiv.2305.06161openalex-snapshot
StarCoder: may the source be with you!
inferredcites →https://doi.org/10.48550/arxiv.2401.14196openalex-snapshot
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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The Promise of Generative AI for Software Startups: Potential Benefits and Use Cases
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Preserving Computer Music Heritage Through RAG-Based Interpretation of Historical Source Code
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Empirical studies of parameter efficient methods for large language models of code and knowledge transfer to R
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Developers and generative AI: A study of self-admitted usage in open source projects
inferred← citeshttps://doi.org/10.1007/s10664-026-10878-4openalex-snapshot
Effective Fine-tuning for Low-resource Languages: A Case Study of Cangjie
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Evaluating quantized Large Language Models for code generation on low-resource language benchmarks
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A framework for assessing the capabilities of code generation of constraint domain-specific languages with large language models
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Industrial applications of large language models
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Optimizing Performance Of Refuelling Operation Through Simulation
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Synthetic Data Generation Using Large Language Models: Advances in Text and Code
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Retrieval-Augmented Code Generation of Low-Resource Programming Languages
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00186openalex-snapshot
Mixture-of-Experts Low-Rank Adaptation for Multilingual Code Summarization
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Improving Quality of LLM Code Generation in Low-Resource Programming Languages via Uncertainty Estimation
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OptCodeTrans: Boost LLMs on Low-Resource Programming Language Translation
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SingRAG: A Translation-Augmented Framework for Code-Mixed Singlish Processing
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RoSum-Mcts: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards
inferred← citeshttps://doi.org/10.1109/icpc66645.2025.00058openalex-snapshot
Enhancing Code Generation for Low-Resource Languages: No Silver Bullet
inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00049openalex-snapshot
Is Quantization a Deal-Breaker? Empirical Insights From Large Code Models
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MSCoT: Structured Chain-of-Thought Generation for Multiple Programming Languages
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No Resource, No Benchmarks, No Problem? Evaluating and Improving LLMs for Code Generation in No-Resource Languages
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MoonBit: Explore the Design of an AI-Friendly Programming Language
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Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering
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Program Skeletons for Automated Program Translation
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Do Current Language Models Support Code Intelligence for R Programming Language?
inferred← citeshttps://doi.org/10.1145/3755881.3755884openalex-snapshot
MetaCoder: Generating Code from Multiple Perspectives
inferred← citeshttps://doi.org/10.1145/3770084openalex-snapshot
A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages
inferred← citeshttps://doi.org/10.1145/3777383openalex-snapshot
Large Language Models for Code Translation: An In-Depth Analysis of Code Smells and Functional Correctness
inferred← citeshttps://doi.org/10.1145/3794763.3794810openalex-snapshot
Evaluating the Impact of Post-Training Quantization on Large Language Models for Code Generation
inferred← citeshttps://doi.org/10.1145/3806383.3815518openalex-snapshot
How much does an LLM know about my programming language?
inferred← citeshttps://doi.org/10.1145/3837062.3839350openalex-snapshot
Code Generation Beyond Mainstream Languages
inferred← citeshttps://doi.org/10.23919/isc.2025.11017585openalex-snapshot
HPC-Coder-v2: Studying Code LLMs Across Low-Resource Parallel Languages
inferred← citeshttps://doi.org/10.32388/vv1661openalex-snapshot
Challenges and Paths Towards AI for Software Engineering
inferred← citeshttps://doi.org/10.3389/frai.2025.1725853openalex-snapshot
Positive sentiments in early academic literature on DeepSeek: a cross-disciplinary mini review
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Generative Artificial Intelligence, Writing Placement, and Principled Decision Making in U.S. Postsecondary Contexts: A White Paper
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Bewertung von Sprachmodellen bei der Übersetzung metaphorischen Denkens in der Wirtschaftssprache
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Cross-Domain Knowledge Transfer in Large Models: Transforming Knowledge Management Dynamics
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