Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination
Kim Hammar, Tansu Alpcan, Emil C. Lupu
机构
*
Department of Electrical and Electronic Engineering, University of Melbourne, Australia(墨尔本大学电子与电气工程系)
;
Department of Computing, Imperial College London, United Kingdom(伦敦帝国理工学院计算机系)
EnergyPatchTST: Multi-scale Time Series Transformers with Uncertainty Estimation for Energy Forecasting
Wei Li, Zixin Wang, Qizheng Sun, Qixiang Gao, Fenglei Yang
专题命中
规划推理
:planning(abstract);分类 cs.AI、cs.LG
CommentsAccepted for publication at the International Conference on Intelligent Computing (ICIC 2025). 12 pages. The final authenticated version is published in the Lecture Notes in Computer Science (LNCS) series, vol 15860, and is available online. This is the author's version of the work submitted for peer review
Journal refAdvanced Intelligent Computing Technology and Applications. ICIC 2025. Lecture Notes in Computer Science, vol 15860. Springer, Singapore
Building Effective Safety Guardrails in AI Education Tools
Hannah-Beth Clark, Laura Benton, Emma Searle, Margaux Dowland, Matthew Gregory, Will Gayne, John Roberts
专题命中
规划推理
:planning(abstract);分类 cs.AI
Comments9 pages, published in proceedings of International Conference on Artificial Intelligence in Education (AIED) 2025: Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED
Journal refCommunications in Computer and Information Science (2025) vol 2590, pp. 129-136
"Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner
Szeyi Chan, Jiachen Li, Bingsheng Yao, Amama Mahmood, Chien-Ming Huang, Holly Jimison, Elizabeth D Mynatt, Dakuo Wang