语言大模型 / LLM

Disentangling the Drivers of LLM Social Conformity: An Uncertainty-Moderated Dual-Process Mechanism

Huixin Zhong, Yanan Liu, Qi Cao, Shijin Wang, Zijing Ye, Zimu Wang, Shiyao Zhang

机构 * Xi’an Jiaotong Liverpool University（西安交通大学利物浦大学） ； School of Microelectronics, Shanghai University（上海大学微电子学院） 纠错

专题命中 知识编辑与模型理解 ：LLM(title)；large language model(abstract)；language model(abstract)；分类 cs.AI

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection

Chengcan Wu, Zeming Wei, Huanran Chen, Yinpeng Dong, Meng Sun

机构 * Peking University（北京大学） ； Tsinghua University（清华大学） 纠错

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；preference optimization(abstract)；分类 cs.AI、cs.LG

Comments 10 pages, 9 figures, Under review as a full paper at AAAI 2026. A preliminary version is under review at the NeurIPS 2025 Workshop on Reliable ML from Unreliable Data

Handle-based Mesh Deformation Guided By Vision Language Model

Xingpeng Sun, Shiyang Jia, Zherong Pan, Kui Wu, Aniket Bera

机构 * Purdue University（普渡大学） ； LightSpeed Studios ； University of California San Diego（加州大学圣地亚哥分校） 纠错

专题命中 知识编辑与模型理解 ：language model(title,abstract)

Comments 19 pages

Tutorial on the Probabilistic Unification of Estimation Theory, Machine Learning, and Generative AI

Mohammed Elmusrati

机构 * School of Technology and Innovations, University of Vaasa（技术与创新学院，瓦萨大学） 纠错

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Row-Column Hybrid Grouping for Fault-Resilient Multi-Bit Weight Representation on IMC Arrays

Kang Eun Jeon, Sangheum Yeon, Jinhee Kim, Hyeonsu Bang, Johnny Rhe, Jong Hwan Ko

机构 * Department of Electrical and Computer Engineering, Sungkyunkwan University（电气与计算机工程系，成均馆大学） ； Department of Semiconductor Engineering, Sungkyunkwan University（半导体工程系，成均馆大学） ； Department of Electrical and Computer Engineering, Duke University（电气与计算机工程系，杜克大学） ； Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology（金 Jaechul人工智能研究生院，韩国科学技术院） 纠错

专题命中 知识编辑与模型理解 ：language model(abstract)；small language model(abstract)；分类 cs.AI

Comments Accepted to appear at ICCAD'25 (Munich, Germany)

MaskSDM with Shapley values to improve flexibility, robustness, and explainability in species distribution modeling

Robin Zbinden, Nina van Tiel, Gencer Sumbul, Chiara Vanalli, Benjamin Kellenberger, Devis Tuia

专题命中 知识编辑与模型理解 ：foundation model(abstract)；分类 cs.LG