Distilled GPT for Source Code Summarization
Fuente:
arXiv
Saved in:
| Main Authors: | Su, Chia-Yi, McMillan, Collin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Semantic Similarity Loss for Neural Source Code Summarization
by: Su, Chia-Yi, et al.
Published: (2023)
by: Su, Chia-Yi, et al.
Published: (2023)
Do Code LLMs Do Static Analysis?
by: Su, Chia-Yi, et al.
Published: (2025)
by: Su, Chia-Yi, et al.
Published: (2025)
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization
by: Li, Jiliang, et al.
Published: (2024)
by: Li, Jiliang, et al.
Published: (2024)
CMind: An AI Agent for Localizing C Memory Bugs
by: Su, Chia-Yi, et al.
Published: (2026)
by: Su, Chia-Yi, et al.
Published: (2026)
AI-Mediated Code Comment Improvement
by: Dhakal, Maria, et al.
Published: (2025)
by: Dhakal, Maria, et al.
Published: (2025)
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization
by: Zhang, Yifan, et al.
Published: (2024)
by: Zhang, Yifan, et al.
Published: (2024)
Context-aware Code Summary Generation
by: Su, Chia-Yi, et al.
Published: (2024)
by: Su, Chia-Yi, et al.
Published: (2024)
Which Code Statements Implement Privacy Behaviors in Android Applications?
by: Su, Chia-Yi, et al.
Published: (2025)
by: Su, Chia-Yi, et al.
Published: (2025)
APIDA-Chat: Structured Synthesis of API Search Dialogues to Bootstrap Conversational Agents
by: Eberhart, Zachary, et al.
Published: (2025)
by: Eberhart, Zachary, et al.
Published: (2025)
Programmer Visual Attention During Context-Aware Code Summarization
by: Wallace, Robert, et al.
Published: (2024)
by: Wallace, Robert, et al.
Published: (2024)
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention
by: Zhang, Yifan, et al.
Published: (2025)
by: Zhang, Yifan, et al.
Published: (2025)
Analysis on LLMs Performance for Code Summarization
by: Akib, Md. Ahnaf, et al.
Published: (2024)
by: Akib, Md. Ahnaf, et al.
Published: (2024)
How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions
by: Tang, Ningzhi, et al.
Published: (2026)
by: Tang, Ningzhi, et al.
Published: (2026)
Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models
by: Jain, Vijayanta, et al.
Published: (2026)
by: Jain, Vijayanta, et al.
Published: (2026)
Meta-RAG on Large Codebases Using Code Summarization
by: Tawosi, Vali, et al.
Published: (2025)
by: Tawosi, Vali, et al.
Published: (2025)
MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization
by: Lu, Haolang, et al.
Published: (2024)
by: Lu, Haolang, et al.
Published: (2024)
Precision in Practice: Knowledge Guided Code Summarizing Grounded in Industrial Expectations
by: Li, Jintai, et al.
Published: (2026)
by: Li, Jintai, et al.
Published: (2026)
Hierarchical Repository-Level Code Summarization for Business Applications Using Local LLMs
by: Dhulshette, Nilesh, et al.
Published: (2025)
by: Dhulshette, Nilesh, et al.
Published: (2025)
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
by: Hou, Shuyang, et al.
Published: (2024)
by: Hou, Shuyang, et al.
Published: (2024)
Instruction Adherence in Coding Agent Configuration Files: A Factorial Study of Four File-Structure Variables
by: McMillan, Damon
Published: (2026)
by: McMillan, Damon
Published: (2026)
SourceP: Detecting Ponzi Schemes on Ethereum with Source Code
by: Lu, Pengcheng, et al.
Published: (2023)
by: Lu, Pengcheng, et al.
Published: (2023)
An Empirical Study of Knowledge Distillation for Code Understanding Tasks
by: Wang, Ruiqi, et al.
Published: (2025)
by: Wang, Ruiqi, et al.
Published: (2025)
On Iterative Evaluation and Enhancement of Code Quality Using GPT-4o
by: Liu, Rundong, et al.
Published: (2025)
by: Liu, Rundong, et al.
Published: (2025)
A GPT-based Code Review System for Programming Language Learning
by: Dong-Kyu, Lee
Published: (2024)
by: Dong-Kyu, Lee
Published: (2024)
Semantic similarity loss for neural source code summarization
by: Chia‐Yi Su, et al.
Published: (2024)
by: Chia‐Yi Su, et al.
Published: (2024)
What You See Is Not Always What You Get: Evaluating GPT's Comprehension of Source Code
by: Wen, Jiawen, et al.
Published: (2024)
by: Wen, Jiawen, et al.
Published: (2024)
SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval
by: Gu, Wenchao, et al.
Published: (2025)
by: Gu, Wenchao, et al.
Published: (2025)
What Makes Code Generation Ethically Sourced?
by: Xu, Zhuolin, et al.
Published: (2025)
by: Xu, Zhuolin, et al.
Published: (2025)
Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code
by: Della Porta, Antonio, et al.
Published: (2025)
by: Della Porta, Antonio, et al.
Published: (2025)
A Controlled Experiment on the Energy Efficiency of the Source Code Generated by Code Llama
by: Cursaru, Vlad-Andrei, et al.
Published: (2024)
by: Cursaru, Vlad-Andrei, et al.
Published: (2024)
Semantic Neighborhood Density and Eye Gaze Time in Human Programmer Attention
by: Wallace, Robert, et al.
Published: (2026)
by: Wallace, Robert, et al.
Published: (2026)
Progressive Code Integration for Abstractive Bug Report Summarization
by: Karim, Shaira Sadia, et al.
Published: (2025)
by: Karim, Shaira Sadia, et al.
Published: (2025)
Analyzing the Performance of Large Language Models on Code Summarization
by: Haldar, Rajarshi, et al.
Published: (2024)
by: Haldar, Rajarshi, et al.
Published: (2024)
A Dataset and Preliminary Study of Using GPT-5 for Code-change Impact Analysis
by: Stengg, Katharina, et al.
Published: (2025)
by: Stengg, Katharina, et al.
Published: (2025)
Assertion-Aware Test Code Summarization with Large Language Models
by: Mollah, Anamul Haque, et al.
Published: (2025)
by: Mollah, Anamul Haque, et al.
Published: (2025)
Will It Survive? Deciphering the Fate of AI-Generated Code in Open Source
by: Rahman, Musfiqur, et al.
Published: (2026)
by: Rahman, Musfiqur, et al.
Published: (2026)
Machine Learning Techniques for Python Source Code Vulnerability Detection
by: Farasat, Talaya, et al.
Published: (2024)
by: Farasat, Talaya, et al.
Published: (2024)
ChatGPT vs. DeepSeek: A Comparative Study on AI-Based Code Generation
by: Manik, Md Motaleb Hossen
Published: (2025)
by: Manik, Md Motaleb Hossen
Published: (2025)
Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers
by: Siam, Md Kamrul, et al.
Published: (2024)
by: Siam, Md Kamrul, et al.
Published: (2024)
Evaluation of the Code Generation Capabilities of ChatGPT 4: A Comparative Analysis in 19 Programming Languages
by: Gilbert, L. C.
Published: (2025)
by: Gilbert, L. C.
Published: (2025)
Similar Items
-
Semantic Similarity Loss for Neural Source Code Summarization
by: Su, Chia-Yi, et al.
Published: (2023) -
Do Code LLMs Do Static Analysis?
by: Su, Chia-Yi, et al.
Published: (2025) -
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization
by: Li, Jiliang, et al.
Published: (2024) -
CMind: An AI Agent for Localizing C Memory Bugs
by: Su, Chia-Yi, et al.
Published: (2026) -
AI-Mediated Code Comment Improvement
by: Dhakal, Maria, et al.
Published: (2025)