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A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation
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RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model
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ChatGPT for PLC/DCS Control Logic Generation
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Invited Paper: VerilogEval: Evaluating Large Language Models for Verilog Code Generation
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Experiment on Utilizing GPT-3.5 Language Model to Generate DSL of Data Management for Web Application Development using Qore-Base Platform
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Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
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MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation
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VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation
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AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for HDL Design
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CodeV: Empowering LLMs With HDL Generation Through Multilevel Summarization
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(Security) Assertions by Large Language Models
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Next-Generation Database Interfaces: A Survey of LLM-Based Text-to-SQL
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MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation
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Competition-level code generation with AlphaCode
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Organizing The World's Largest Hardware Security Competition
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Software Engineering for AI-Based Systems: A Survey
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A systematic evaluation of large language models of code
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What If: Generating Code to Answer Simulation Questions in Chemistry Texts
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CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
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Language Models for Code Completion: A Practical Evaluation
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Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation
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HPC-GPT: Integrating Large Language Model for High-Performance Computing
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KubePlaybook: A Repository of Ansible Playbooks for Kubernetes Auto-Remediation with LLMs
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CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
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LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems
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Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework
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Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering
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AssertLLM: Generating Hardware Verification Assertions from Design Specifications via Multi-LLMs
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A Deep Dive into Large Language Models for Automated Bug Localization and Repair
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Significant Productivity Gains through Programming with Large Language Models
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On the Effectiveness of Large Language Models for GitHub Workflows
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Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design
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Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design
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Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs
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Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering
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Large Language Models for Software Engineering: A Systematic Literature Review
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LLM Compiler: Foundation Language Models for Compiler Optimization
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ChatGPT FOR PROGRAMMING NUMERICAL METHODS
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Query-Key Normalization for Transformers
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Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?
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CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
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CoDesc: A Large Code–Description Parallel Dataset
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ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
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Time-Efficient Code Completion Model for the R Programming Language
inferredcites →https://doi.org/10.18653/v1/2021.nlp4prog-1.7openalex-snapshot
Shellcode_IA32: A Dataset for Automatic Shellcode Generation
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When Language Model Meets Private Library
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Large Language Models Meet NL2Code: A Survey
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Self-Instruct: Aligning Language Models with Self-Generated Instructions
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GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding
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CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation
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XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.375openalex-snapshot
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.802openalex-snapshot
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators
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DocCGen: Document-based Controlled Code Generation
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Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts
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Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
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Benchmarking Large Language Models for Automated Verilog RTL Code Generation
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CERT: Continual Pre-training on Sketches for Library-oriented Code Generation
inferredcites →https://doi.org/10.3115/v1/p15-1129openalex-snapshot
Building a Semantic Parser Overnight
inferredcites →https://doi.org/10.48550/arxiv.2106.02711openalex-snapshot
SketchGen: Generating Constrained CAD Sketches
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PaLM: Scaling Language Modeling with Pathways
inferredcites →https://doi.org/10.52202/075280-2837openalex-snapshot
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
inferredcites →https://doi.org/10.52202/079017-1166openalex-snapshot
StackEval: Benchmarking LLMs in Coding Assistance
inferredcites →https://doi.org/10.52202/079017-1310openalex-snapshot
Verified Code Transpilation with LLMs
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