Zero-Shot Code Representation Learning via Prompt Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Cui, Nan, Gu, Xiaodong, Shen, Beijun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning
by: Jiang, Yuze, et al.
Published: (2024)
by: Jiang, Yuze, et al.
Published: (2024)
Cross-Domain Deep Code Search with Meta Learning
by: Chai, Yitian, et al.
Published: (2022)
by: Chai, Yitian, et al.
Published: (2022)
Neuron-Guided Interpretation of Code LLMs: Where, Why, and How?
by: Yin, Zhe, et al.
Published: (2025)
by: Yin, Zhe, et al.
Published: (2025)
Rethinking Code Complexity Through the Lens of Large Language Models
by: Xie, Chen, et al.
Published: (2026)
by: Xie, Chen, et al.
Published: (2026)
Unraveling the Potential of Large Language Models in Code Translation: How Far Are We?
by: Tao, Qingxiao, et al.
Published: (2024)
by: Tao, Qingxiao, et al.
Published: (2024)
APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs
by: Wang, Chaofan, et al.
Published: (2025)
by: Wang, Chaofan, et al.
Published: (2025)
Beyond Language Boundaries: Uncovering Programming Language Families for Code Language Models
by: Yun, Shangbo, et al.
Published: (2025)
by: Yun, Shangbo, et al.
Published: (2025)
Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs
by: Xie, Chen, et al.
Published: (2025)
by: Xie, Chen, et al.
Published: (2025)
In Line with Context: Repository-Level Code Generation via Context Inlining
by: Hu, Chao, et al.
Published: (2026)
by: Hu, Chao, et al.
Published: (2026)
LongCodeZip: Compress Long Context for Code Language Models
by: Shi, Yuling, et al.
Published: (2025)
by: Shi, Yuling, et al.
Published: (2025)
CatchAll: Repository-Aware Exception Handling with Knowledge-Guided LLMs
by: Tao, Qingxiao, et al.
Published: (2026)
by: Tao, Qingxiao, et al.
Published: (2026)
Test vs Mutant: Adversarial LLM Agents for Robust Unit Test Generation
by: Chang, Pengyu, et al.
Published: (2026)
by: Chang, Pengyu, et al.
Published: (2026)
SALT4Decompile: Inferring Source-level Abstract Logic Tree for LLM-Based Binary Decompilation
by: Wang, Yongpan, et al.
Published: (2025)
by: Wang, Yongpan, et al.
Published: (2025)
SWE-QA: Can Language Models Answer Repository-level Code Questions?
by: Peng, Weihan, et al.
Published: (2025)
by: Peng, Weihan, et al.
Published: (2025)
Cracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback
by: Ippisch, Niklas, et al.
Published: (2024)
by: Ippisch, Niklas, et al.
Published: (2024)
Zero-Shot Cross-Domain Code Search without Fine-Tuning
by: Liang, Keyu, et al.
Published: (2025)
by: Liang, Keyu, et al.
Published: (2025)
Readability-Robust Code Summarization via Meta Curriculum Learning
by: Zeng, Wenhao, et al.
Published: (2026)
by: Zeng, Wenhao, et al.
Published: (2026)
Zero-Shot Prompting Approaches for LLM-based Graphical User Interface Generation
by: Kolthoff, Kristian, et al.
Published: (2024)
by: Kolthoff, Kristian, et al.
Published: (2024)
Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code
by: Shin, Jiho, et al.
Published: (2023)
by: Shin, Jiho, et al.
Published: (2023)
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting
by: Ye, Tong, et al.
Published: (2024)
by: Ye, Tong, et al.
Published: (2024)
EvoC2Rust: A Skeleton-guided Framework for Project-Level C-to-Rust Translation
by: Wang, Chaofan, et al.
Published: (2025)
by: Wang, Chaofan, et al.
Published: (2025)
Prompt Optimization for LLM Code Generation via Reinforcement Learning
by: Esfahani, Ali Mohammadi, et al.
Published: (2026)
by: Esfahani, Ali Mohammadi, et al.
Published: (2026)
An Empirical Study on the Effects of System Prompts in Instruction-Tuned Models for Code Generation
by: Cheng, Zaiyu, et al.
Published: (2026)
by: Cheng, Zaiyu, et al.
Published: (2026)
RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot
by: Garg, Spandan, et al.
Published: (2023)
by: Garg, Spandan, et al.
Published: (2023)
Tuning LLM-based Code Optimization via Meta-Prompting: An Industrial Perspective
by: Gong, Jingzhi, et al.
Published: (2025)
by: Gong, Jingzhi, et al.
Published: (2025)
Fine-Tuning and Prompt Engineering for Large Language Models-based Code Review Automation
by: Pornprasit, Chanathip, et al.
Published: (2024)
by: Pornprasit, Chanathip, et al.
Published: (2024)
On Fixing Insecure AI-Generated Code through Model Fine-Tuning and Prompting Strategies
by: Jahromi, Ali Soltanian Fard, et al.
Published: (2026)
by: Jahromi, Ali Soltanian Fard, et al.
Published: (2026)
CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection
by: Feng, Ruijun, et al.
Published: (2025)
by: Feng, Ruijun, et al.
Published: (2025)
PatchZero: Zero-Shot Automatic Patch Correctness Assessment
by: Zhou, Xin, et al.
Published: (2023)
by: Zhou, Xin, et al.
Published: (2023)
Binary Code Similarity Detection via Graph Contrastive Learning on Intermediate Representations
by: Shang, Xiuwei, et al.
Published: (2024)
by: Shang, Xiuwei, et al.
Published: (2024)
Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation
by: Cui, Yi
Published: (2025)
by: Cui, Yi
Published: (2025)
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using LLMs
by: Kabir, Azmain, et al.
Published: (2024)
by: Kabir, Azmain, et al.
Published: (2024)
On Unified Prompt Tuning for Request Quality Assurance in Public Code Review
by: Chen, Xinyu, et al.
Published: (2024)
by: Chen, Xinyu, et al.
Published: (2024)
Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
by: Trad, Fouad, et al.
Published: (2025)
by: Trad, Fouad, et al.
Published: (2025)
Prompt-based Code Completion via Multi-Retrieval Augmented Generation
by: Tan, Hanzhuo, et al.
Published: (2024)
by: Tan, Hanzhuo, et al.
Published: (2024)
Automating Zero-Shot Patch Porting for Hard Forks
by: Pan, Shengyi, et al.
Published: (2024)
by: Pan, Shengyi, et al.
Published: (2024)
Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation
by: Ye, Sixiang, et al.
Published: (2025)
by: Ye, Sixiang, et al.
Published: (2025)
Enhancing Source Code Representations for Deep Learning with Static Analysis
by: Guan, Xueting, et al.
Published: (2024)
by: Guan, Xueting, et al.
Published: (2024)
Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach
by: Liu, Haiyang, et al.
Published: (2024)
by: Liu, Haiyang, et al.
Published: (2024)
Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study
by: Liu, Shuo, et al.
Published: (2024)
by: Liu, Shuo, et al.
Published: (2024)
Similar Items
-
Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning
by: Jiang, Yuze, et al.
Published: (2024) -
Cross-Domain Deep Code Search with Meta Learning
by: Chai, Yitian, et al.
Published: (2022) -
Neuron-Guided Interpretation of Code LLMs: Where, Why, and How?
by: Yin, Zhe, et al.
Published: (2025) -
Rethinking Code Complexity Through the Lens of Large Language Models
by: Xie, Chen, et al.
Published: (2026) -
Unraveling the Potential of Large Language Models in Code Translation: How Far Are We?
by: Tao, Qingxiao, et al.
Published: (2024)