Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
Fuente:
arXiv
Saved in:
| Main Authors: | Su, Zian, Xu, Xiangzhe, Huang, Ziyang, Zhang, Kaiyuan, Zhang, Xiangyu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
by: Su, Zian, et al.
Published: (2024)
by: Su, Zian, et al.
Published: (2024)
ProSec: Fortifying Code LLMs with Proactive Security Alignment
by: Xu, Xiangzhe, et al.
Published: (2024)
by: Xu, Xiangzhe, et al.
Published: (2024)
Position: Intelligent Coding Systems Should Write Programs with Justifications
by: Xu, Xiangzhe, et al.
Published: (2025)
by: Xu, Xiangzhe, et al.
Published: (2025)
TAI3: Testing Agent Integrity in Interpreting User Intent
by: Feng, Shiwei, et al.
Published: (2025)
by: Feng, Shiwei, et al.
Published: (2025)
$μ$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models
by: Su, Zian, et al.
Published: (2025)
by: Su, Zian, et al.
Published: (2025)
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
by: Luo, Ziyang, et al.
Published: (2024)
by: Luo, Ziyang, et al.
Published: (2024)
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
by: Mishra, Mayank, et al.
Published: (2024)
by: Mishra, Mayank, et al.
Published: (2024)
Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets
by: Jelodar, Hamed, et al.
Published: (2025)
by: Jelodar, Hamed, et al.
Published: (2025)
ShortCoder: Knowledge-Augmented Syntax Optimization for Token-Efficient Code Generation
by: Liu, Sicong, et al.
Published: (2026)
by: Liu, Sicong, et al.
Published: (2026)
Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
by: Jiang, Nan, et al.
Published: (2023)
by: Jiang, Nan, et al.
Published: (2023)
WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning
by: Yu, Zhaojian, et al.
Published: (2023)
by: Yu, Zhaojian, et al.
Published: (2023)
CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases
by: Liu, Xiangyan, et al.
Published: (2024)
by: Liu, Xiangyan, et al.
Published: (2024)
A Reference Architecture for Designing Foundation Model based Systems
by: Lu, Qinghua, et al.
Published: (2023)
by: Lu, Qinghua, et al.
Published: (2023)
Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code
by: Jiang, Nan, et al.
Published: (2024)
by: Jiang, Nan, et al.
Published: (2024)
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
by: Lu, Qinghua, et al.
Published: (2023)
by: Lu, Qinghua, et al.
Published: (2023)
CodeV: Issue Resolving with Visual Data
by: Zhang, Linhao, et al.
Published: (2024)
by: Zhang, Linhao, et al.
Published: (2024)
Search-Based LLMs for Code Optimization
by: Gao, Shuzheng, et al.
Published: (2024)
by: Gao, Shuzheng, et al.
Published: (2024)
CodeMirage: Hallucinations in Code Generated by Large Language Models
by: Agarwal, Vibhor, et al.
Published: (2024)
by: Agarwal, Vibhor, et al.
Published: (2024)
A Code Comprehension Benchmark for Large Language Models for Code
by: Havare, Jayant, et al.
Published: (2025)
by: Havare, Jayant, et al.
Published: (2025)
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
by: Huang, Baizhou, et al.
Published: (2023)
by: Huang, Baizhou, et al.
Published: (2023)
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
by: Zheng, Tianyu, et al.
Published: (2024)
by: Zheng, Tianyu, et al.
Published: (2024)
IndustryCode: A Benchmark for Industry Code Generation
by: Zeng, Puyu, et al.
Published: (2026)
by: Zeng, Puyu, et al.
Published: (2026)
Can Coding Agents Reproduce Findings in Computational Materials Science?
by: Huang, Ziyang, et al.
Published: (2026)
by: Huang, Ziyang, et al.
Published: (2026)
Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
by: Zhang, Ziyin, et al.
Published: (2023)
by: Zhang, Ziyin, et al.
Published: (2023)
Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary
by: Xu, Xiangzhe, et al.
Published: (2023)
by: Xu, Xiangzhe, et al.
Published: (2023)
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
by: Di, Yifeng, et al.
Published: (2025)
by: Di, Yifeng, et al.
Published: (2025)
Testing the Effect of Code Documentation on Large Language Model Code Understanding
by: Macke, William, et al.
Published: (2024)
by: Macke, William, et al.
Published: (2024)
LLMs for Science: Usage for Code Generation and Data Analysis
by: Nejjar, Mohamed, et al.
Published: (2023)
by: Nejjar, Mohamed, et al.
Published: (2023)
Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation
by: Hou, Shuyang, et al.
Published: (2024)
by: Hou, Shuyang, et al.
Published: (2024)
Scaling Granite Code Models to 128K Context
by: Stallone, Matt, et al.
Published: (2024)
by: Stallone, Matt, et al.
Published: (2024)
Multilingual Multimodal Software Developer for Code Generation
by: Chai, Linzheng, et al.
Published: (2025)
by: Chai, Linzheng, et al.
Published: (2025)
SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning
by: Liu, Fang, et al.
Published: (2025)
by: Liu, Fang, et al.
Published: (2025)
CodeMirage: A Multi-Lingual Benchmark for Detecting AI-Generated and Paraphrased Source Code from Production-Level LLMs
by: Guo, Hanxi, et al.
Published: (2025)
by: Guo, Hanxi, et al.
Published: (2025)
ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models
by: Han, Hojae, et al.
Published: (2024)
by: Han, Hojae, et al.
Published: (2024)
Magicoder: Empowering Code Generation with OSS-Instruct
by: Wei, Yuxiang, et al.
Published: (2023)
by: Wei, Yuxiang, et al.
Published: (2023)
From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models
by: Xu, Zexing, et al.
Published: (2024)
by: Xu, Zexing, et al.
Published: (2024)
Towards an Understanding of Context Utilization in Code Intelligence
by: Wang, Yanlin, et al.
Published: (2025)
by: Wang, Yanlin, et al.
Published: (2025)
Extracting Protocol Format as State Machine via Controlled Static Loop Analysis
by: Shi, Qingkai, et al.
Published: (2023)
by: Shi, Qingkai, et al.
Published: (2023)
CodeScout: An Effective Recipe for Reinforcement Learning of Code Search Agents
by: Sutawika, Lintang, et al.
Published: (2026)
by: Sutawika, Lintang, et al.
Published: (2026)
Similar Items
-
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
by: Su, Zian, et al.
Published: (2024) -
ProSec: Fortifying Code LLMs with Proactive Security Alignment
by: Xu, Xiangzhe, et al.
Published: (2024) -
Position: Intelligent Coding Systems Should Write Programs with Justifications
by: Xu, Xiangzhe, et al.
Published: (2025) -
TAI3: Testing Agent Integrity in Interpreting User Intent
by: Feng, Shiwei, et al.
Published: (2025) -
$μ$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models
by: Su, Zian, et al.
Published: (2025)