Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens
Vittorio Erba, Emanuele Troiani, Luca Biggio, Antoine Maillard, Lenka Zdeborová
机构
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Statistical Physics of Computation Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
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Department of Computing Sciences, Universita Bocconi, Milan, Italy
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Department of Mathematics, ETH Zürich, Switzerland
专题命中
其他LLM
:large language model(abstract);language model(abstract);分类 cs.LG
Usando LLMs para Programar Jogos de Tabuleiro e Variações
Álvaro Guglielmin Becker, Lana Bertoldo Rossato, Anderson Rocha Tavares
专题命中
其他LLM
:large language model(abstract);language model(abstract);分类 cs.LG
CommentsAccepted for presentation at the I Escola Regional de Aprendizado de Máquina e Inteligência Artificial da Região Sul, 2025, in Portuguese language
Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation
Daniil Gurgurov, Katharina Trinley, Yusser Al Ghussin, Tanja Baeumel, Josef van Genabith, Simon Ostermann
机构
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Saarland University(萨尔兰大学)
;
German Research Center for AI (DFKI)(德国人工智能研究中心)
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Centre for European Research in Trusted AI (CERTAIN)(可信人工智能欧洲研究中心)
专题命中
其他LLM
:large language model(abstract);language model(abstract);分类 cs.CL
Generative AI and Empirical Software Engineering: A Paradigm Shift
Christoph Treude, Margaret-Anne Storey
机构
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School of Computing(计算学院)
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Information Systems Singapore Management University Singapore, Singapore(信息系统新加坡管理大学新加坡)
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Department of Computer Science University of Victoria Victoria, Canada(计算机科学系维多利亚大学加拿大)
专题命中
其他LLM
:large language model(abstract);language model(abstract);分类 cs.AI
CommentsPublished at 2nd IEEE/ACM International Conference on AI-powered Software (AIware 2025)
Reflection on Data Storytelling Tools in the Generative AI Era from the Human-AI Collaboration Perspective
Haotian Li, Yun Wang, Huamin Qu
机构
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Microsoft Research Asia(微软亚洲研究院)
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The Hong Kong University of Science and Technology(香港科技大学)
专题命中
其他LLM
:large language model(abstract);language model(abstract);分类 cs.AI
CommentsThis paper is a sequel to the CHI 24 paper "Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration (https://doi.org/10.1145/3613904.3642726), aiming to refresh our understanding with the latest advancements. It is accepted at IEEE VIS 25
Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors
Zexi Li, Zhiqi Li, Jie Lin, Tao Shen, Jun Xiao, Yike Guo, Tao Lin, Chao Wu
机构
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Zhejiang University(浙江大学)
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Georgia Institute of Technology(佐治亚理工学院)
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Westlake University(西湖大学)
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Hong Kong University of Science and Technology(香港科技大学)