Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Nan, Wang, Chengxiao, Liu, Kevin, Xu, Xiangzhe, Tan, Lin, Zhang, Xiangyu, Babkin, Petr |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| 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)
1D-Bench: A Benchmark for Iterative UI Code Generation with Visual Feedback in Real-World
by: Xu, Qiao, et al.
Published: (2026)
by: Xu, Qiao, et al.
Published: (2026)
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
by: Su, Zian, et al.
Published: (2024)
by: Su, Zian, et al.
Published: (2024)
How Effective Are Neural Networks for Fixing Security Vulnerabilities
by: Wu, Yi, et al.
Published: (2023)
by: Wu, Yi, et al.
Published: (2023)
TENET: Leveraging Tests Beyond Validation for Code Generation
by: Hu, Yiran, et al.
Published: (2025)
by: Hu, Yiran, et al.
Published: (2025)
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)
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)
Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs
by: Haque, Mirazul, et al.
Published: (2025)
by: Haque, Mirazul, et al.
Published: (2025)
Task Abstention for Large Language Models in Code Generation
by: Zhou, Yanke, et al.
Published: (2026)
by: Zhou, Yanke, et al.
Published: (2026)
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)
How Effective are Large Language Models in Generating Software Specifications?
by: Xie, Danning, et al.
Published: (2023)
by: Xie, Danning, et al.
Published: (2023)
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
by: He, Mengliang, et al.
Published: (2025)
by: He, Mengliang, et al.
Published: (2025)
CoRe: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks
by: Xie, Danning, et al.
Published: (2025)
by: Xie, Danning, et al.
Published: (2025)
Large Language Model Guided Self-Debugging Code Generation
by: Adnan, Muntasir, et al.
Published: (2025)
by: Adnan, Muntasir, et al.
Published: (2025)
From Charts to Code: A Hierarchical Benchmark for Multimodal Models
by: Tang, Jiahao, et al.
Published: (2025)
by: Tang, Jiahao, et al.
Published: (2025)
CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation
by: Gui, Ningxin, et al.
Published: (2025)
by: Gui, Ningxin, et al.
Published: (2025)
Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'
by: Liang, Shanchao, et al.
Published: (2024)
by: Liang, Shanchao, et al.
Published: (2024)
Asm2SrcEval: Evaluating Large Language Models for Assembly-to-Source Code Translation
by: Hamedi, Parisa, et al.
Published: (2025)
by: Hamedi, Parisa, et al.
Published: (2025)
Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics
by: Liu, Chunhua, et al.
Published: (2025)
by: Liu, Chunhua, et al.
Published: (2025)
Personality-Guided Code Generation Using Large Language Models
by: Guo, Yaoqi, et al.
Published: (2024)
by: Guo, Yaoqi, et al.
Published: (2024)
What Makes Code Generation Ethically Sourced?
by: Xu, Zhuolin, et al.
Published: (2025)
by: Xu, Zhuolin, et al.
Published: (2025)
Understanding Defects in Generated Codes by Language Models
by: Esfahani, Ali Mohammadi, et al.
Published: (2024)
by: Esfahani, Ali Mohammadi, et al.
Published: (2024)
Structure-Aware Corpus Construction and User-Perception-Aligned Metrics for Large-Language-Model Code Completion
by: Liu, Dengfeng, et al.
Published: (2025)
by: Liu, Dengfeng, et al.
Published: (2025)
Less is More: Towards Green Code Large Language Models via Unified Structural Pruning
by: Yang, Guang, et al.
Published: (2024)
by: Yang, Guang, et al.
Published: (2024)
Process-Supervised Reinforcement Learning for Code Generation
by: Ye, Yufan, et al.
Published: (2025)
by: Ye, Yufan, et al.
Published: (2025)
SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents
by: Lin, Feng, et al.
Published: (2024)
by: Lin, Feng, et al.
Published: (2024)
TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation
by: Xian, Zixiang, et al.
Published: (2023)
by: Xian, Zixiang, et al.
Published: (2023)
Enhancing High-Quality Code Generation in Large Language Models with Comparative Prefix-Tuning
by: Jiang, Yuan, et al.
Published: (2025)
by: Jiang, Yuan, et al.
Published: (2025)
Towards Better Correctness and Efficiency in Code Generation
by: Feng, Yunlong, et al.
Published: (2025)
by: Feng, Yunlong, et al.
Published: (2025)
Position: Intelligent Coding Systems Should Write Programs with Justifications
by: Xu, Xiangzhe, et al.
Published: (2025)
by: Xu, Xiangzhe, 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)
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)
Uncertainty Quantification for LLM-based Code Generation
by: Xu, Senrong, et al.
Published: (2026)
by: Xu, Senrong, et al.
Published: (2026)
Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation
by: Bhattarai, Manish, et al.
Published: (2024)
by: Bhattarai, Manish, et al.
Published: (2024)
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)
Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models
by: Wang, Yanlin, et al.
Published: (2024)
by: Wang, Yanlin, 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)
Fixing Large Language Models' Specification Misunderstanding for Better Code Generation
by: Tian, Zhao, et al.
Published: (2023)
by: Tian, Zhao, et al.
Published: (2023)
CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
by: Wang, Peiding, et al.
Published: (2025)
by: Wang, Peiding, et al.
Published: (2025)
A Survey on Large Language Models for Code Generation
by: Jiang, Juyong, et al.
Published: (2024)
by: Jiang, Juyong, et al.
Published: (2024)
Similar Items
-
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
by: Su, Zian, et al.
Published: (2024) -
1D-Bench: A Benchmark for Iterative UI Code Generation with Visual Feedback in Real-World
by: Xu, Qiao, et al.
Published: (2026) -
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
by: Su, Zian, et al.
Published: (2024) -
How Effective Are Neural Networks for Fixing Security Vulnerabilities
by: Wu, Yi, et al.
Published: (2023) -
TENET: Leveraging Tests Beyond Validation for Code Generation
by: Hu, Yiran, et al.
Published: (2025)