CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning
Lauren Deason, Adam Bali, Ciprian Bejean, Diana Bolocan, James Crnkovich, Ioana Croitoru, Krishna Durai, Chase Midler, Calin Miron, David Molnar, Brad Moon, Bruno Ostarcevic, Alberto Peltea, Matt Rosenberg, Catalin Sandu, Arthur Saputkin, Sagar Shah, Daniel Stan, Ernest Szocs, Shengye Wan, Spencer Whitman, Sven Krasser, Joshua Saxe
专题命中
推理与问题求解
:LLM(abstract);large language model(abstract);language model(abstract);分类 cs.AI
机构
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The Polytechnic Institute, Zhejiang University(浙江大学Polytechnic学院)
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College of Computer Science and Technology, Zhejiang University(浙江大学计算机科学与技术学院)
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ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University(浙江大学Hangzhou全球科技创新中心)
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University of Oxford(牛津大学)
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Ant Group(蚂蚁集团)
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University of Aberdeen(阿伯丁大学)
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ZJU-UIUC Institute, Zhejiang University(浙江大学UIUC研究院)
专题命中
推理与问题求解
:large language model(abstract);language model(abstract);分类 cs.AI
机构
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Department of Elec.&Comp. Science, University of Massachusetts Amherst(马萨诸塞大学阿姆赫斯特分校电子与计算机科学系)
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Department of Computer Sys. Engineering, Northeastern University(东北大学计算机系统工程系)
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Department of Computer Science, George Mason University(乔治·梅森大学计算机科学系)
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Department of Info. Networking Institude, Carnegie Mellon University(卡内基梅隆大学信息网络研究所)
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Department of Computer & Mathematical Sciences, Auckland University of Technology(奥克兰理工大学计算机与数学科学系)
专题命中
推理与问题求解
:large language model(abstract);language model(abstract);分类 cs.AI
Journal refINNO-PRESS: Journal of Emerging Applied AI, 2025
Data Descriptions from Large Language Models with Influence Estimation
Chaeri Kim, Jaeyeon Bae, Taehwan Kim
机构
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Ulsan National Institute of Science and Technology(UNIST)(乌山国立科学技术研究院)
专题命中
评测与基准
:large language model(title,abstract);language model(title,abstract);分类 cs.AI、cs.LG
Journal refPublished in EMNLP 2025, check our project on this https URL : https://github.com/kimchaeri/Data-Descriptions-from-Large-Language-Models-with-Influence-Estimation
Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study
Mahdi Dhaini, Juraj Vladika, Ege Erdogan, Zineb Attaoui, Gjergji Kasneci
机构
*
Technical University of Munich, School of Computation, Information and Technology, Department of Computer Science, Munich, Germany(慕尼黑技术大学,计算、信息与技术学院,计算机科学系,德国慕尼黑)
专题命中
评测与基准
:LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI
CommentsAccepted to the 34th International Conference on Artificial Neural Networks (ICANN 2025)