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...
CAN LLMS "REASON" IN MUSIC? AN EVALUATION OF LLMS’CAPABILITY OF MUSIC UNDERSTANDING AND GENERATIONZiya Zhou 1,2 Yuhang Wu 2 Zhiyue Wu 3Xinyue Zhang 2 Ruibin Yuan 1,2 Yinghao Ma 2,4Lu Wang 3 Emmanouil Benetos 4 Wei Xue 1 Yike Guo 11AIS, The Hong Kong University of Scie...
1、AR-LLMs(自回归大模型) (1)Have a constant number of computational steps between input and output.Weak representational power.(输出和输入之间具有恒定的数量,代表权重) (2)Do not really reason.Do not really plan(不要真正的推理,没有真正的计划) 2.Humans and many animals(人类及大部分动物) (1...
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 ...
llms_can_learn_rulesA major reason for failure of chain-of-thought prompting is its tendency to hallucinate rules in multi-step reasoning. Our work, Hypotheses-to-Theories (HtT), prompts LLMs to induce rules from training samples, build a rule library, and apply it to solve reasoning ...
where LLMs either invoke tools or pick up items by step-by-step interacting with the environment. We propose Reasoning-Path-Editing (Readi), a novel framework where LLMs can efficiently and faithfully reason over structured environments. In Readi, LLMs ini...
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, ...
"LLMs have shown signs that they can reason about themselves, so given that we are able to interrogate them, I can imagine that we could ask a model to explain its choices and why it is saying a precise thing to a particular person with particular properties. There's a lot to be expl...
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...
If your instructions are unclear or you skip steps that would be obvious to human listeners, the LLM you’re using could easily get confused and give you output that you don’t want. The reason for this is pretty simple — here it is in Pronto’s own words: Willow Roberts / Digital ...