LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Yan, Ding, Ling, Nguyen, Tien N, Wang, Shaohua, Zheng, Yanan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models
por: Wang, Yan, et al.
Publicado: (2024)
por: Wang, Yan, et al.
Publicado: (2024)
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
por: Weyssow, Martin, et al.
Publicado: (2023)
por: Weyssow, Martin, et al.
Publicado: (2023)
Language Models are Better Bug Detector Through Code-Pair Classification
por: Alrashedy, Kamel, et al.
Publicado: (2023)
por: Alrashedy, Kamel, et al.
Publicado: (2023)
Correctness Assessment of Code Generated by Large Language Models Using Internal Representations
por: Bui, Tuan-Dung, et al.
Publicado: (2025)
por: Bui, Tuan-Dung, et al.
Publicado: (2025)
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
por: Yan, Kaiwen, et al.
Publicado: (2025)
por: Yan, Kaiwen, et al.
Publicado: (2025)
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
por: Jain, Naman, et al.
Publicado: (2024)
por: Jain, Naman, et al.
Publicado: (2024)
Revisiting Pre-trained Language Models for Vulnerability Detection
por: Li, Youpeng, et al.
Publicado: (2025)
por: Li, Youpeng, et al.
Publicado: (2025)
Towards Understanding What Code Language Models Learned
por: Ahmed, Toufique, et al.
Publicado: (2023)
por: Ahmed, Toufique, et al.
Publicado: (2023)
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
por: Dang, Yen-Trang, et al.
Publicado: (2024)
por: Dang, Yen-Trang, et al.
Publicado: (2024)
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
por: Li, Linyi, et al.
Publicado: (2024)
por: Li, Linyi, et al.
Publicado: (2024)
Redundancy and Concept Analysis for Code-trained Language Models
por: Sharma, Arushi, et al.
Publicado: (2023)
por: Sharma, Arushi, et al.
Publicado: (2023)
Understanding Robustness of Model Editing in Code LLMs
por: Chhetri, Vinaik, et al.
Publicado: (2025)
por: Chhetri, Vinaik, et al.
Publicado: (2025)
Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection
por: Gonçalves, José, et al.
Publicado: (2025)
por: Gonçalves, José, et al.
Publicado: (2025)
Tracing Stereotypes in Pre-trained Transformers: From Biased Neurons to Fairer Models
por: Voria, Gianmario, et al.
Publicado: (2026)
por: Voria, Gianmario, et al.
Publicado: (2026)
Evaluating Language Models for Efficient Code Generation
por: Liu, Jiawei, et al.
Publicado: (2024)
por: Liu, Jiawei, et al.
Publicado: (2024)
Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
por: Tao, Hongyuan, et al.
Publicado: (2025)
por: Tao, Hongyuan, et al.
Publicado: (2025)
Cerberus: Multi-Agent Reasoning and Coverage-Guided Exploration for Static Detection of Runtime Errors
por: Dhulipala, Hridya, et al.
Publicado: (2025)
por: Dhulipala, Hridya, et al.
Publicado: (2025)
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
por: Zheng, Qinkai, et al.
Publicado: (2023)
por: Zheng, Qinkai, et al.
Publicado: (2023)
Revisiting the Plastic Surgery Hypothesis via Large Language Models
por: Xia, Chunqiu Steven, et al.
Publicado: (2023)
por: Xia, Chunqiu Steven, et al.
Publicado: (2023)
An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets
por: Katzy, Jonathan, et al.
Publicado: (2024)
por: Katzy, Jonathan, et al.
Publicado: (2024)
Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code
por: Kazemi, Mahdi, et al.
Publicado: (2024)
por: Kazemi, Mahdi, et al.
Publicado: (2024)
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
por: Di, Peng, et al.
Publicado: (2023)
por: Di, Peng, et al.
Publicado: (2023)
Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing
por: Hanmongkolchai, Manatsawin
Publicado: (2025)
por: Hanmongkolchai, Manatsawin
Publicado: (2025)
Calibration and Correctness of Language Models for Code
por: Spiess, Claudio, et al.
Publicado: (2024)
por: Spiess, Claudio, et al.
Publicado: (2024)
Large Language Models for Multilingual Code Intelligence: A Survey
por: Jiang, Chao, et al.
Publicado: (2026)
por: Jiang, Chao, et al.
Publicado: (2026)
CodeJudge: Evaluating Code Generation with Large Language Models
por: Tong, Weixi, et al.
Publicado: (2024)
por: Tong, Weixi, et al.
Publicado: (2024)
Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications
por: Huynh, Nam, et al.
Publicado: (2025)
por: Huynh, Nam, et al.
Publicado: (2025)
A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models
por: Wu, Yixi, et al.
Publicado: (2024)
por: Wu, Yixi, et al.
Publicado: (2024)
On Trojan Signatures in Large Language Models of Code
por: Hussain, Aftab, et al.
Publicado: (2024)
por: Hussain, Aftab, et al.
Publicado: (2024)
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
por: Guo, Jiawei, et al.
Publicado: (2024)
por: Guo, Jiawei, et al.
Publicado: (2024)
Suggesting Code Edits in Interactive Machine Learning Notebooks Using Large Language Models
por: Jin, Bihui, et al.
Publicado: (2025)
por: Jin, Bihui, et al.
Publicado: (2025)
Fuzzwise: Intelligent Initial Corpus Generation for Fuzzing
por: Dhulipala, Hridya, et al.
Publicado: (2025)
por: Dhulipala, Hridya, et al.
Publicado: (2025)
PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)
por: Nazzal, Mahmoud, et al.
Publicado: (2024)
por: Nazzal, Mahmoud, et al.
Publicado: (2024)
Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy
por: Hussain, Aftab, et al.
Publicado: (2024)
por: Hussain, Aftab, et al.
Publicado: (2024)
CODEMENV: Benchmarking Large Language Models on Code Migration
por: Cheng, Keyuan, et al.
Publicado: (2025)
por: Cheng, Keyuan, et al.
Publicado: (2025)
Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models
por: Zhao, Junda, et al.
Publicado: (2025)
por: Zhao, Junda, et al.
Publicado: (2025)
Ensuring Functional Correctness of Large Code Models with Selective Generation
por: Jeong, Jaewoo, et al.
Publicado: (2025)
por: Jeong, Jaewoo, et al.
Publicado: (2025)
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code
por: Majdinasab, Vahid, et al.
Publicado: (2024)
por: Majdinasab, Vahid, et al.
Publicado: (2024)
Can Code Language Models Learn Clarification-Seeking Behaviors?
por: Wu, Jie JW, et al.
Publicado: (2025)
por: Wu, Jie JW, et al.
Publicado: (2025)
Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)
por: Ahmed, Toufique, et al.
Publicado: (2023)
por: Ahmed, Toufique, et al.
Publicado: (2023)
Ejemplares similares
-
Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models
por: Wang, Yan, et al.
Publicado: (2024) -
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
por: Weyssow, Martin, et al.
Publicado: (2023) -
Language Models are Better Bug Detector Through Code-Pair Classification
por: Alrashedy, Kamel, et al.
Publicado: (2023) -
Correctness Assessment of Code Generated by Large Language Models Using Internal Representations
por: Bui, Tuan-Dung, et al.
Publicado: (2025) -
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
por: Yan, Kaiwen, et al.
Publicado: (2025)