llm4code / 2024Links
The First International Workshop on Large Language Model for Code 2024 (Co-Located with ICSE 2024)
☆17Updated 9 months ago
Alternatives and similar repositories for 2024
Users that are interested in 2024 are comparing it to the libraries listed below
Sorting:
- ✅SRepair: Powerful LLM-based Program Repairer with $0.029/Fixed Bug☆67Updated last year
- WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models (OOPSLA 2024)☆62Updated last week
- Artifact for ESEC/FSE'23 paper "NeuRI: Diversifying DNN Generation via Inductive Rule Inference"☆31Updated last year
- Collect simple coverage information in memory.☆11Updated 2 years ago
- Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)☆24Updated last year
- a data collection of related work: Toward Understanding Deep Learning Framework Bugs☆16Updated last year
- Large Language Models for Software Engineering☆236Updated this week
- Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source (ICSE'22)☆79Updated 2 years ago
- Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)☆38Updated 2 years ago
- Tzer: TVM Implementation of "Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation (OOPSLA'22)“.☆70Updated 2 years ago
- Benchmark ClassEval for class-level code generation.☆144Updated 8 months ago
- Making code edting up to 7.7x faster using multi-layer speculation☆21Updated 4 months ago
- ☆12Updated last year
- [NeurIPS'24] SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning☆24Updated 7 months ago
- Artifact repository for the paper "Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code", In P…☆49Updated 3 months ago
- LLMDFA: Analyzing Dataflow in Code with Large Language Models (NeurIPS 2024)☆130Updated last month
- Fast and Precise On-the-fly Patch Validation for All☆10Updated 2 years ago
- ☆23Updated 6 months ago
- For our ICSE23 paper "Impact of Code Language Models on Automated Program Repair" by Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan☆61Updated 9 months ago
- MetaMut is a mutation operator generator to facilitate compiler fuzzing.☆26Updated 6 months ago
- This is the tool released in the ASE'23 paper "Generative Type Inference for Python".☆26Updated last year
- Artefacts for evaluating user-intent-formalization (translating natural language intent to formal specifications) in different languages☆15Updated 5 months ago
- ☆49Updated last year
- This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.☆55Updated last year
- Automatic DNN generation for fuzzing and more☆134Updated 6 months ago
- We introduce FixEval , a dataset for competitive programming bug fixing along with a comprehensive test suite and show the necessity of e…☆23Updated 2 years ago
- A Framework for Automated Validation of Deep Learning Training Tasks☆36Updated this week
- LLMSAN: Sanitizing Large Language Models in Bug Detection with Data-Flow (EMNLP Findings 2024)☆78Updated last month
- A reading group for system verification papers☆10Updated last year
- List of research papers of ICSE, FSE, ASE, and ISSTA since 2020.☆19Updated 2 months ago