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

    Runji Lin, Weiyu Ma, Qirui Mi, Jun Wang, Yuqiao Wu, Xue Yan, Yongcheng Zeng, Haifeng Zhang 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

    Samuel Norman-Haignere, David Skrill 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)

    Majid Benam, James Bennett, Enrico Cioni, R. del Rio-Chanona, Pieter Francois, Jakob Hauser, Daniel Hoyer, Daniel Kondor, Jenny Reddish, Peter Turchin, Federica Villa 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

    Yongli Hu, Alan Liew, Linhao Luo, Shirui Pan, Kai Sun, Jiapu Wang, Wei Wei, 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

    Wenyan Cong, Zhiwen Fan, Boris Ivanovic, Achuta Kadambi, Renjie Li, Marco Pavone, Peihao Wang, Yue Wang, Zhangyang Wang, Kairun Wen, Danfei Xu, Jian Zhang, Shijie Zhou 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

    Peter Bartlett, Yuhang Cai, Michael Lindsey, Song Mei, Jingfeng Wu 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

    Liang Chen, Jianming Liang, Yu Liu, Ping Luo, Guanglu Song, Zeyue Xue, Zhuofan Zong 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

    Jan-Christian Huetter, Romain Lopez, 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

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