- Guiding Enumerative Program Synthesis with Large Language Models🔍
- [PDF] TRANX🔍
- Chain|of|Thought in Neural Code Generation🔍
- Execution|based Code Generation using Deep Reinforce🔍
- Enforcing Grammar in Code Synthesis with Transformers🔍
- Understanding Syntax and Semantics in AI Code Generation🔍
- How can I generate the abstract syntax tree 🔍
- StepCoder and the Quest for Intuitive AI Programming🔍
Syntactically Guided Coarse|To|Fine Code Generation
Guiding Enumerative Program Synthesis with Large Language Models
In general, program synthesis is concerned with the generation (i.e., synthesis) of a program that satisfies a certain specification. Syntax- ...
[PDF] TRANX: A Transition-based Neural Abstract Syntax Parser for ...
A syntax-guided multi-task learning approach for Turducken-style code generation ... Coarse-to-Fine Decoding for Neural Semantic Parsing · Li DongMirella ...
Chain-of-Thought in Neural Code Generation - IEEE Computer Society
... code generation based on CodeBERT,” J. Syst. Softw., vol. 197, 2023, Art. no. 111577. [44]G. Yang , “A syntax-guided multi-task learning approach for ...
Execution-based Code Generation using Deep Reinforce
PPOCoder provides a systematic mechanism for fine-tuning code generation models using deep reinforcement ... Abstract syntax networks for code generation ...
Enforcing Grammar in Code Synthesis with Transformers
of transformer fine-tuning for code generation, using the. Hearthstone dataset as our benchmark. The proposed ap- proach collects statistics of syntactic ...
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 ...
How can I generate the abstract syntax tree (AST) for a portion of C ...
... fine. It will ... What are the advantages of generating intermediate code vs generating machine code directly from abstract syntax tree?
StepCoder and the Quest for Intuitive AI Programming - LinkedIn
Lack of context and understanding: LLMs often generate code that is syntactically ... Fine-Grained Optimization (FGO): This technique ...
What is AI Code Generation? Benefits, Tools & Challenges - Sonar
OpenAI's GPT (Generative Pre-trained Transformer) models, including ChatGPT, can be fine-tuned for code generation tasks. ... syntactically correct but not ...
Improving Code Summarization with Block-wise Abstract Syntax ...
Abstract Syntax Tree. (AST), which depicts the source code's syntactic structure, has been incorporated to guide the generation of code summaries. However ...
TRANX: A Transition-based Neural Abstract Syntax Parser for ...
Coarse-to-fine de- coding for neural semantic parsing. In Proceedings of ACL ... Abstract syntax networks for code generation and semantic parsing. In ...
SPoC: Search-based Pseudocode to Code
Abstract syntax networks for code generation and semantic parsing. In ... Robust text-to-SQL generation with execution-guided decoding. arXiv preprint ...
Kevin Wang - Google Scholar
Outline, then details: Syntactically guided coarse-to-fine code generation. W Zheng, SP Sharan, AK Jaiswal, K Wang, Y Xi, D Xu, Z Wang. International Conference ...
The Future of Software Development: The Art of Code GAN-eration
The model has been fine-tuned on numerous sets of codes and can generate ... While GPT-3 generated code might not be syntactically correct, tabnine code ...
[PDF] Compilable Neural Code Generation with Compiler Feedback
... code generation, including language model fine-tuning,Compilability ... A syntax-guided multi-task learning approach for Turducken-style code generation.
If the generated Verilog code module contains syntax errors, the ... domain-specific fine-tuning, and (3) incorporating more ef-.
How AI code generation works - The GitHub Blog
... syntax, patterns, and paradigms found in human-generated code. The ... Discover tips, technical guides, and best practices in our biweekly ...
How to Perform Code Generation with LLM Models | by Novita AI
Incorrect syntax: Generated code may contain syntax ... fine-tuning its parameters are crucial steps towards generating optimal code.
What are Large Language Models? | A Comprehensive LLMs Guide
Like the human brain, large language models must be pre-trained and then fine ... Like text generation, code generation is an application of generative AI.
Code Generation | Papers With Code
In this work, we propose GAP-Gen, a Guided Automatic Python Code Generation method based on Python syntactic constraints and semantic constraints. 1. Paper