即使是在添加了扰动(数据增强)的情况下,LLM也只产生了26%的错误,这足以证明使用LLM进行代码漏洞检测的可行性之高。 此外,原论文中还指出,目前缺少“有漏洞的代码->无漏洞的代码”的漏洞修复数据集,如果LLM能够有效地生成这些数据,将有利于相关下游任务的方法改进。 更多前沿资讯,还请继续关注绿盟科技研究通讯。 如...
Large language models (LLMs) have achieved impressive human-like performance across various reasoning tasks. However, their mastery of underlying inferential rules still falls short of human capabilities. To investigate this, we propose a logic scaffolding inferential rule generation framework, to ...
Recent research has extended the application of large language models (LLMs) such as GPT-4 and Llama2 to the symbolic music domain including understanding and generation. Yet scant research explores the details of how these LLMs perform on advanced music understanding and conditioned generation, ...
It’s 4:30 am as I read about “LLMs can’t reason.” The submission by Mr. Covington greatly intrigued me in the topics of ChatGPT and LLMs, causing me to read about half of Mr. Wolfram’s treatise early this morning. “Thank you,” Mr. Covington! I plan to read the remainder...
Can Large Language Models Reason about the Region Connection Calculus? arXiv preprint arXiv:2411.19589. Data We have encrypted the data using a simple password ("123") to avoid our questions and answers becoming LLM training data. We prepared the data like this: tar -czvf data.tar.gz data ...
We posit that the state-of-the-art LLM, GPT-4, possesses the requisite capacity to weigh and reason upon these different categories of data, as evidenced by its demonstrated proficiency in complex financial reasoning tasks [45]. In its operation, the GPT-4 model is prompted to adopt the ro...
GenAI may become more conversational and better able to interact with developers—and non-developers—to step them through the process of defining requirements and then turning those requirements into project plans, documentation, test cases, and code. If we really look into the crystal ball, ...
College London surveyed a stratified sample of 300 people in the U.S. and asked if they thought ChatGPT could have the capacity for consciousness, as well as a variety of other mental states—such as the ability to make plans, reason, and feel emotions—and how often they used the tool...
LLMs can accomplish specialized medical knowledge tasks, however, equitable access is hindered by the extensive fine-tuning, specialized medical data requirement, and limited access to proprietary models. Open-source (OS) medical LLMs show performance improvements and provide the transparency and complian...
In this work, we show that a pre-trained large language model (LLM) agent can execute computer tasks guided by natural language using a simple prompting scheme where the agent Recursively Criticizes and Improves its output (RCI). The RCI approach significantly outperforms existing LLM methods for...