ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.13721
  4. Cited By
Nova: Generative Language Models for Assembly Code with Hierarchical
  Attention and Contrastive Learning

Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning

22 November 2023
Nan Jiang
Chengxiao Wang
Kevin Liu
Xiangzhe Xu
Lin Tan
Xiangyu Zhang
    OffRL
ArXivPDFHTML

Papers citing "Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning"

3 / 3 papers shown
Title
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs
Guoqiang Chen
Xiuwei Shang
Shaoyin Cheng
Yanming Zhang
Weiming Zhang
Neng H. Yu
N. Yu
86
2
0
27 Mar 2024
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
Yuqiang Sun
Daoyuan Wu
Yue Xue
Han Liu
Wei Ma
Lyuye Zhang
Miaolei Shi
Yingjiu Li
ELM
76
46
0
29 Jan 2024
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
201
1,451
0
02 Sep 2021
1