- Syntactically Guided Coarse|To|Fine Code Generation🔍
- VITA|Group/ChainCoder🔍
- How do LLMs generate valid code syntax almost every time?🔍
- A syntax|guided multi|task learning approach for Turducken|style ...🔍
- A Syntax|Guided Multi|Task Learning Approach for Turducken|Style ...🔍
- LLM|Assisted Code Cleaning For Training Accurate Code Generators🔍
- Using LLMs for Code Generation🔍
- Reinforcement Learning and Data|Generation for Syntax|Guided ...🔍
Syntactically Guided Coarse|To|Fine Code Generation
Syntactically Guided Coarse-To-Fine Code Generation - arXiv
We propose ChainCoder, a program synthesis language model that generates Python code progressively, ie from coarse to fine in multiple passes.
VITA-Group/ChainCoder: [ICML 2023] "Outline, Then Details - GitHub
[ICML 2023] "Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation", Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal, Kevin Wang, ...
Outline, then details: syntactically guided coarse-to-fine code ...
However, state-of-the-art large language models generate codes in a single pass, without intermediate warm-ups to reflect the structured thought ...
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code ...
However, state-of-the-art large language models generate codes in a single pass, without interme- diate warm-ups to reflect the structured thought process of “ ...
Syntactically Guided Coarse-To-Fine Code Generation | Request PDF
Request PDF | Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation | For a complicated algorithm, its implementation by a human ...
How do LLMs generate valid code syntax almost every time? - Reddit
... fine tune them to format code too. Upvote ... code companion looking over their virtual shoulder, gently guiding them towards valid syntax.
A syntax-guided multi-task learning approach for Turducken-style ...
TurduckenGen formalizes syntax-guided code generation as an auxiliary task to enable the model to learn ... Fine-grained pseudo-code generation method via code ...
A Syntax-Guided Multi-Task Learning Approach for Turducken-Style ...
Abstract page for arXiv paper 2303.05061: A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation.
LLM-Assisted Code Cleaning For Training Accurate Code Generators
[2] Execution-based code generation using deep reinforcement learning. TMLR 2023. [3] Outline, then details: Syntactically guided coarse-to-fine code generation ...
Using LLMs for Code Generation: A Guide to Improving Accuracy ...
Fine-tune one of these ... Syntactic Errors: Specific code errors that indicate issues in the structure and syntax of the generated code.
Reinforcement Learning and Data-Generation for Syntax-Guided ...
Program synthesis is the task of automatically generating code based on a specification. In Syntax-Guided Synthesis (SyGuS) this specification is a ...
RoyiRa/Linguistic-Binding-in-Diffusion-Models - GitHub
This repository hosts the code ... Text-conditioned image generation models often generate incorrect associations between entities and their visual attributes.
c# - Generate code for classes with an attribute - Stack Overflow
This will guide you towards settings up a code generator project. As far as I understood, tooling is on the way to automate this part.
Intermediate and object code generation with ANTLR - Stack Overflow
Specific to your question, ANTLR provides Lexer (lexical analysis), Parser (syntactic analysis), and tree-walker (semantic analysis) support, ...
A syntax-guided edit decoder for neural program repair
In this paper, we propose Recoder, a syntax-guided edit decoder with placeholder generation. Recoder is novel in multiple aspects.
How to create an abstract syntax tree - Quora
How do you generate the abstract syntax tree (AST) for Python source code using Java? ... fine. It will even build a (Concrete) syntax tree ...
Syntax-Guided Controlled Generation of Paraphrases
To drive future research, we have made Sgcp's source code available.1. 1 Introduction. Controlled text generation is the task of producing a ...
Beyond Code: Evaluate Thought Steps for Complex Code Generation
In this paper, we introduce. "steps-guided code generation", a task ... SynE(Syntax Error): generated code fails to compile (e.g. ...
SynCode: LLM Generation with Grammar Augmentation - AIModels.fyi
Proposes a grammar augmentation technique to guide LLMs towards generating syntactically correct code ... They then fine-tuned this pre ...
Understanding Syntax and Semantics in AI Code Generation
Transfer Learning: Models pre-trained on large code datasets can be fine-tuned for specific languages or domains, allowing them to transfer ...