Paper

  • Large Language Models Play StarCraft II:Benchmarks and A Chain of Summarization Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large Language Models Play StarCraft II:Benchmarks and A Chain of Summarization Approach

    Weiyu Ma, Qirui Mi, Yongcheng Zeng, Xue Yan, Yuqiao Wu, Runji Lin, Haifeng Zhang, Jun Wang p133386-133442 from Advances in Neural Information Processing Systems 37
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  • Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows

    David Skrill, Samuel Norman-Haignere p638-654 from Advances in Neural Information Processing Systems 36
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  • Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)

    Jakob Hauser, Daniel Kondor, Jenny Reddish, Majid Benam, Enrico Cioni, Federica Villa, James Bennett, Daniel Hoyer, Pieter Francois, Peter Turchin, R. Del Rio-Chanona p32336-32369 from Advances in Neural Information Processing Systems 37
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  • Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning

    Jiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Liew, Shirui Pan, Baocai Yin p8384-8410 from Advances in Neural Information Processing Systems 37
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  • Large Pre-trained time series models for cross-domain Time series analysis tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large Pre-trained time series models for cross-domain Time series analysis tasks

    Harshavardhan Kamarthi, B. Prakash p56190-56214 from Advances in Neural Information Processing Systems 37
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  • LARGE SCALE EXPERIMENT OF A NEW HOLLOW CORE TIMBERS LAB SYSTEM

    World Conference on Timber Engineering 2025

    LARGE SCALE EXPERIMENT OF A NEW HOLLOW CORE TIMBERS LAB SYSTEM

    Cristóbal Tapia, Kai Simon, Aaron Münzer, Lisa Stimpfle, Simon Aicher p4556-4565 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Large Scale Transfer Learning for Tabular Data via Language Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large Scale Transfer Learning for Tabular Data via Language Modeling

    Josh Gardner, Juan Perdomo, Ludwig Schmidt p45155-45205 from Advances in Neural Information Processing Systems 37
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  • Large Spatial Model: End-to-end Unposed Images to Semantic 3D

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large Spatial Model: End-to-end Unposed Images to Semantic 3D

    Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang p40212-40229 from Advances in Neural Information Processing Systems 37
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  • Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization

    Yuhang Cai, Jingfeng Wu, Song Mei, Michael Lindsey, Peter Bartlett p71306-71351 from Advances in Neural Information Processing Systems 37
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  • Large-Batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large-Batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes

    Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo p18694-18706 from Advances in Neural Information Processing Systems 35
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  • Large-Scale Differentiable Causal Discovery of Factor Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large-Scale Differentiable Causal Discovery of Factor Graphs

    Romain Lopez, Jan-Christian Huetter, Jonathan Pritchard, Aviv Regev p19290-19303 from Advances in Neural Information Processing Systems 35
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  • Large-Scale Distributed Learning via Private On-Device LSH

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large-Scale Distributed Learning via Private On-Device LSH

    Tahseen Rabbani, Marco Bornstein, Furong Huang p16153-16171 from Advances in Neural Information Processing Systems 36
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