Trustllm: Trustworthiness in large language models

Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

[HTML][HTML] Position: TrustLLM: Trustworthiness in large language models

Y Huang, L Sun, H Wang, S Wu… - International …, 2024 - proceedings.mlr.press
Large language models (LLMs) have gained considerable attention for their excellent
natural language processing capabilities. Nonetheless, these LLMs present many …

Pitfalls in language models for code intelligence: A taxonomy and survey

X She, Y Liu, Y Zhao, Y He, L Li… - arXiv preprint arXiv …, 2023 - arxiv.org
Modern language models (LMs) have been successfully employed in source code
generation and understanding, leading to a significant increase in research focused on …

Llm for soc security: A paradigm shift

D Saha, S Tarek, K Yahyaei, SK Saha, J Zhou… - IEEE …, 2024 - ieeexplore.ieee.org
As the ubiquity and complexity of system-on-chip (SoC) designs increase across electronic
devices, incorporating security into an SoC design flow poses significant challenges …

Integration of Federated Learning and AI-Generated Content: A Survey of Overview, Opportunities, Challenges, and Solutions

Y Liu, J Yin, W Zhang, C An, Y Xia… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial intelligence generated content (AIGC) relies on advanced AI algorithms supported
by extensive datasets and substantial computing power to generate precise and pertinent …

Efficient and green large language models for software engineering: Vision and the road ahead

J Shi, Z Yang, D Lo - ACM Transactions on Software Engineering and …, 2024 - dl.acm.org
Large Language Models (LLMs) have recently shown remarkable capabilities in various
software engineering tasks, spurring the rapid growth of the Large Language Models for …

Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns

JH Klemmer, SA Horstmann, N Patnaik… - Proceedings of the …, 2024 - dl.acm.org
Following the recent release of AI assistants, such as OpenAI's ChatGPT and GitHub
Copilot, the software industry quickly utilized these tools for software development tasks, eg …

Sok: Memorization in general-purpose large language models

V Hartmann, A Suri, V Bindschaedler, D Evans… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) are advancing at a remarkable pace, with myriad
applications under development. Unlike most earlier machine learning models, they are no …

Robustness, security, privacy, explainability, efficiency, and usability of large language models for code

Z Yang, Z Sun, TZ Yue, P Devanbu, D Lo - arXiv preprint arXiv:2403.07506, 2024 - arxiv.org
Large language models for code (LLM4Code), which demonstrate strong performance (eg,
high accuracy) in processing source code, have significantly transformed software …

Reinforcement learning from automatic feedback for high-quality unit test generation

B Steenhoek, M Tufano, N Sundaresan… - arXiv preprint arXiv …, 2023 - arxiv.org
Software testing is a crucial aspect of software development, and the creation of high-quality
tests that adhere to best practices is essential for effective maintenance. Recently, Large …