GLLM: Self-Corrective G-Code Generation using Large Language Models with User Feedback
Fuente:
arXiv
Saved in:
| Main Authors: | Abdelaal, Mohamed, Lokadjaja, Samuel, Engert, Gilbert |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
by: Jiang, Juyong, et al.
Published: (2026)
by: Jiang, Juyong, et al.
Published: (2026)
CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences
by: Weyssow, Martin, et al.
Published: (2024)
by: Weyssow, Martin, et al.
Published: (2024)
CodeJudge: Evaluating Code Generation with Large Language Models
by: Tong, Weixi, et al.
Published: (2024)
by: Tong, Weixi, et al.
Published: (2024)
Improving Code Generation by Training with Natural Language Feedback
by: Chen, Angelica, et al.
Published: (2023)
by: Chen, Angelica, et al.
Published: (2023)
Evaluating the Generalization Capabilities of Large Language Models on Code Reasoning
by: Yang, Rem, et al.
Published: (2025)
by: Yang, Rem, et al.
Published: (2025)
IntentCoding: Amplifying User Intent in Code Generation
by: Fang, Zheng, et al.
Published: (2026)
by: Fang, Zheng, et al.
Published: (2026)
SelfCodeAlign: Self-Alignment for Code Generation
by: Wei, Yuxiang, et al.
Published: (2024)
by: Wei, Yuxiang, et al.
Published: (2024)
Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation
by: Haider, Md. Asif, et al.
Published: (2024)
by: Haider, Md. Asif, et al.
Published: (2024)
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
by: Weyssow, Martin, et al.
Published: (2023)
by: Weyssow, Martin, et al.
Published: (2023)
Evaluating Language Models for Efficient Code Generation
by: Liu, Jiawei, et al.
Published: (2024)
by: Liu, Jiawei, et al.
Published: (2024)
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
by: Jain, Naman, et al.
Published: (2024)
by: Jain, Naman, et al.
Published: (2024)
TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models
by: Park, Chansung, et al.
Published: (2026)
by: Park, Chansung, et al.
Published: (2026)
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models
by: Riddell, Martin, et al.
Published: (2024)
by: Riddell, Martin, et al.
Published: (2024)
Can OpenSource beat ChatGPT? -- A Comparative Study of Large Language Models for Text-to-Code Generation
by: Mayer, Luis, et al.
Published: (2024)
by: Mayer, Luis, et al.
Published: (2024)
Investigating the Efficacy of Large Language Models for Code Clone Detection
by: Khajezade, Mohamad, et al.
Published: (2024)
by: Khajezade, Mohamad, et al.
Published: (2024)
Test Code Generation for Telecom Software Systems using Two-Stage Generative Model
by: Nabeel, Mohamad, et al.
Published: (2024)
by: Nabeel, Mohamad, et al.
Published: (2024)
Suggesting Code Edits in Interactive Machine Learning Notebooks Using Large Language Models
by: Jin, Bihui, et al.
Published: (2025)
by: Jin, Bihui, et al.
Published: (2025)
CodeVisionary: An Agent-based Framework for Evaluating Large Language Models in Code Generation
by: Wang, Xinchen, et al.
Published: (2025)
by: Wang, Xinchen, et al.
Published: (2025)
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
by: He, Xinyi, et al.
Published: (2024)
by: He, Xinyi, et al.
Published: (2024)
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
by: Guo, Daya, et al.
Published: (2024)
by: Guo, Daya, et al.
Published: (2024)
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study
by: Li, Yufei, et al.
Published: (2024)
by: Li, Yufei, et al.
Published: (2024)
NExT: Teaching Large Language Models to Reason about Code Execution
by: Ni, Ansong, et al.
Published: (2024)
by: Ni, Ansong, et al.
Published: (2024)
Neuron Patching: Semantic-based Neuron-level Language Model Repair for Code Generation
by: Gu, Jian, et al.
Published: (2023)
by: Gu, Jian, et al.
Published: (2023)
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts
by: Zhang, Shudan, et al.
Published: (2024)
by: Zhang, Shudan, et al.
Published: (2024)
DDPT: Diffusion-Driven Prompt Tuning for Large Language Model Code Generation
by: Li, Jinyang, et al.
Published: (2025)
by: Li, Jinyang, et al.
Published: (2025)
EVALOOOP: A Self-Consistency-Centered Framework for Assessing Large Language Model Robustness in Programming
by: Fang, Sen, et al.
Published: (2025)
by: Fang, Sen, et al.
Published: (2025)
Towards Understanding What Code Language Models Learned
by: Ahmed, Toufique, et al.
Published: (2023)
by: Ahmed, Toufique, et al.
Published: (2023)
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
by: Guo, Jiawei, et al.
Published: (2024)
by: Guo, Jiawei, et al.
Published: (2024)
code_transformed: The Influence of Large Language Models on Code
by: Xu, Yuliang, et al.
Published: (2025)
by: Xu, Yuliang, et al.
Published: (2025)
CODEMENV: Benchmarking Large Language Models on Code Migration
by: Cheng, Keyuan, et al.
Published: (2025)
by: Cheng, Keyuan, et al.
Published: (2025)
Regression Language Models for Code
by: Akhauri, Yash, et al.
Published: (2025)
by: Akhauri, Yash, et al.
Published: (2025)
SIMCOPILOT: Evaluating Large Language Models for Copilot-Style Code Generation
by: Jiang, Mingchao, et al.
Published: (2025)
by: Jiang, Mingchao, et al.
Published: (2025)
Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models
by: Guo, Siyuan, et al.
Published: (2025)
by: Guo, Siyuan, et al.
Published: (2025)
Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search
by: Li, Haochen, et al.
Published: (2024)
by: Li, Haochen, et al.
Published: (2024)
Assessing the Latent Automated Program Repair Capabilities of Large Language Models using Round-Trip Translation
by: Ruiz, Fernando Vallecillos, et al.
Published: (2024)
by: Ruiz, Fernando Vallecillos, et al.
Published: (2024)
WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning
by: Jiang, Juyong, et al.
Published: (2026)
by: Jiang, Juyong, et al.
Published: (2026)
Evaluation and Improvement of Fault Detection for Large Language Models
by: Hu, Qiang, et al.
Published: (2024)
by: Hu, Qiang, et al.
Published: (2024)
Evaluating the Process Modeling Abilities of Large Language Models -- Preliminary Foundations and Results
by: Fettke, Peter, et al.
Published: (2025)
by: Fettke, Peter, et al.
Published: (2025)
OptLLM: Optimal Assignment of Queries to Large Language Models
by: Liu, Yueyue, et al.
Published: (2024)
by: Liu, Yueyue, et al.
Published: (2024)
CONCUR: Benchmarking LLMs for Concurrent Code Generation
by: Huang, Jue, et al.
Published: (2026)
by: Huang, Jue, et al.
Published: (2026)
Similar Items
-
ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
by: Jiang, Juyong, et al.
Published: (2026) -
CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences
by: Weyssow, Martin, et al.
Published: (2024) -
CodeJudge: Evaluating Code Generation with Large Language Models
by: Tong, Weixi, et al.
Published: (2024) -
Improving Code Generation by Training with Natural Language Feedback
by: Chen, Angelica, et al.
Published: (2023) -
Evaluating the Generalization Capabilities of Large Language Models on Code Reasoning
by: Yang, Rem, et al.
Published: (2025)