LLM4Decompile: Decompiling Binary Code with Large Language Models

2 code implementations • 8 Mar 2024 • Hanzhuo Tan, Qi Luo, Jing Li, Yuqun Zhang

Therefore, we release the first open-access decompilation LLMs ranging from 1B to 33B pre-trained on 4 billion tokens of C source code and the corresponding assembly code.

HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding

1 code implementation • 19 Aug 2023 • Hanzhuo Tan, Chunpu Xu, Jing Li, Yuqun Zhang, Zeyang Fang, Zeyu Chen, Baohua Lai

Natural language understanding (NLU) is integral to various social media applications.

Contrastive Learning In-Context Learning +1

DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems

no code implementations • 27 Dec 2018 • Husheng Zhou, Wei Li, Yuankun Zhu, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu

Furthermore, DeepBillboard is sufficiently robust and resilient for generating physical-world adversarial billboard tests for real-world driving under various weather conditions.

Autonomous Driving DNN Testing

DeepRoad: GAN-based Metamorphic Autonomous Driving System Testing

1 code implementation • 7 Feb 2018 • Mengshi Zhang, Yuqun Zhang, Lingming Zhang, Cong Liu, Sarfraz Khurshid

In this paper, we propose DeepRoad, an unsupervised framework to automatically generate large amounts of accurate driving scenes to test the consistency of DNN-based autonomous driving systems across different scenes.

Software Engineering