Saved in:
| Main Authors: | Wang, Shuai, Ding, Liang, Shen, Li, Luo, Yong, He, Zheng, Yu, Wei, Tao, Dacheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.05923 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs
by: Wang, Shuai, et al.
Published: (2025)
by: Wang, Shuai, et al.
Published: (2025)
Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs
by: Zhu, Yuqi, et al.
Published: (2025)
by: Zhu, Yuqi, et al.
Published: (2025)
A Multi-Language Object-Oriented Programming Benchmark for Large Language Models
by: Wang, Shuai, et al.
Published: (2025)
by: Wang, Shuai, et al.
Published: (2025)
On Evaluating the Efficiency of Source Code Generated by LLMs
by: Niu, Changan, et al.
Published: (2024)
by: Niu, Changan, et al.
Published: (2024)
Using Semantic Distance to Estimate Uncertainty in LLM-Based Code Generation
by: He, Weilin, et al.
Published: (2026)
by: He, Weilin, et al.
Published: (2026)
Constrained Decoding for Secure Code Generation
by: Fu, Yanjun, et al.
Published: (2024)
by: Fu, Yanjun, et al.
Published: (2024)
CatchAll: Repository-Aware Exception Handling with Knowledge-Guided LLMs
by: Tao, Qingxiao, et al.
Published: (2026)
by: Tao, Qingxiao, et al.
Published: (2026)
Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware
by: Chen, Yujia, et al.
Published: (2025)
by: Chen, Yujia, et al.
Published: (2025)
AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation
by: He, Kaifeng, et al.
Published: (2025)
by: He, Kaifeng, et al.
Published: (2025)
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
by: Yu, Hao, et al.
Published: (2023)
by: Yu, Hao, et al.
Published: (2023)
PlayCoder: Making LLM-Generated GUI Code Playable
by: Peng, Zhiyuan, et al.
Published: (2026)
by: Peng, Zhiyuan, et al.
Published: (2026)
Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation
by: Ye, Sixiang, et al.
Published: (2025)
by: Ye, Sixiang, et al.
Published: (2025)
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
by: Dou, Shihan, et al.
Published: (2024)
by: Dou, Shihan, et al.
Published: (2024)
ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision?
by: Fan, Lishui, et al.
Published: (2026)
by: Fan, Lishui, et al.
Published: (2026)
OSS-Bench: Benchmark Generator for Coding LLMs
by: Jiang, Yuancheng, et al.
Published: (2025)
by: Jiang, Yuancheng, et al.
Published: (2025)
Ensemble-Based Uncertainty Estimation for Code Correctness Estimation
by: Wei, Yunxiang, et al.
Published: (2026)
by: Wei, Yunxiang, et al.
Published: (2026)
Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models
by: Xiao, Yisong, et al.
Published: (2025)
by: Xiao, Yisong, et al.
Published: (2025)
Towards Better Code Understanding in Decoder-Only Models with Contrastive Learning
by: Lin, Jiayi, et al.
Published: (2024)
by: Lin, Jiayi, et al.
Published: (2024)
Showing LLM-Generated Code Selectively Based on Confidence of LLMs
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
LLMs are Bug Replicators: An Empirical Study on LLMs' Capability in Completing Bug-prone Code
by: Guo, Liwei, et al.
Published: (2025)
by: Guo, Liwei, et al.
Published: (2025)
Automated and Context-Aware Code Documentation Leveraging Advanced LLMs
by: Sarker, Swapnil Sharma, et al.
Published: (2025)
by: Sarker, Swapnil Sharma, et al.
Published: (2025)
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning
by: Feng, Jiadong, et al.
Published: (2024)
by: Feng, Jiadong, et al.
Published: (2024)
Failure-Aware Enhancements for Large Language Model (LLM) Code Generation: An Empirical Study on Decision Framework
by: Shen, Jianru, et al.
Published: (2026)
by: Shen, Jianru, et al.
Published: (2026)
SynConfRoute: Syntax-Aware Routing for Efficient Code Completion with Small CodeLLMs
by: Thangarajah, Kishanthan, et al.
Published: (2026)
by: Thangarajah, Kishanthan, et al.
Published: (2026)
CodeImprove: Program Adaptation for Deep Code Models
by: Rathnasuriya, Ravishka, et al.
Published: (2025)
by: Rathnasuriya, Ravishka, et al.
Published: (2025)
Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs
by: Ngassom, Sylvain Kouemo, et al.
Published: (2024)
by: Ngassom, Sylvain Kouemo, et al.
Published: (2024)
Yet Even Less Is Even Better For Agentic, Reasoning, and Coding LLMs
by: CodeArts Model Team, et al.
Published: (2026)
by: CodeArts Model Team, 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)
An Empirical Study on Commit Message Generation using LLMs via In-Context Learning
by: Wu, Yifan, et al.
Published: (2025)
by: Wu, Yifan, et al.
Published: (2025)
RepoZero: Can LLMs Generate a Code Repository from Scratch?
by: Zhang, Zhaoxi, et al.
Published: (2026)
by: Zhang, Zhaoxi, et al.
Published: (2026)
When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention
by: Guo, Lianghong, et al.
Published: (2024)
by: Guo, Lianghong, et al.
Published: (2024)
SynthCoder: A Synthetical Strategy to Tune LLMs for Code Completion
by: Yu, Dongjun, et al.
Published: (2025)
by: Yu, Dongjun, et al.
Published: (2025)
Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation
by: Yang, Chengran, et al.
Published: (2026)
by: Yang, Chengran, et al.
Published: (2026)
Generating Context-Aware Contrastive Explanations in Rule-based Systems
by: Herbold, Lars, et al.
Published: (2024)
by: Herbold, Lars, et al.
Published: (2024)
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
by: Nie, Yuqing, et al.
Published: (2024)
by: Nie, Yuqing, et al.
Published: (2024)
K-ASTRO: Structure-Aware Adaptation of LLMs for Code Vulnerability Detection
by: Zhang, Yifan, et al.
Published: (2022)
by: Zhang, Yifan, et al.
Published: (2022)
V-GameGym: Visual Game Generation for Code Large Language Models
by: Zhang, Wei, et al.
Published: (2025)
by: Zhang, Wei, et al.
Published: (2025)
Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
DesignCoder: Hierarchy-Aware and Self-Correcting UI Code Generation with Large Language Models
by: Chen, Yunnong, et al.
Published: (2025)
by: Chen, Yunnong, et al.
Published: (2025)
CodeScore: Evaluating Code Generation by Learning Code Execution
by: Dong, Yihong, et al.
Published: (2023)
by: Dong, Yihong, et al.
Published: (2023)
Similar Items
-
Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs
by: Wang, Shuai, et al.
Published: (2025) -
Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs
by: Zhu, Yuqi, et al.
Published: (2025) -
A Multi-Language Object-Oriented Programming Benchmark for Large Language Models
by: Wang, Shuai, et al.
Published: (2025) -
On Evaluating the Efficiency of Source Code Generated by LLMs
by: Niu, Changan, et al.
Published: (2024) -
Using Semantic Distance to Estimate Uncertainty in LLM-Based Code Generation
by: He, Weilin, et al.
Published: (2026)