Paper

  • MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

    Yu Cheng, Wei Tao, Yanlin Wang, Hongyu Zhang, Wenqiang Zhang, Yucheng Zhou p51963-51993 from Advances in Neural Information Processing Systems 37
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  • MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization

    Orevaoghene Ahia, Hila Gonen, Valentin Hofmann, Sachin Kumar, Tomasz Limisiewicz, Noah Smith, Yulia Tsvetkov p47790-47814 from Advances in Neural Information Processing Systems 37
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  • MAgNet: Mesh Agnostic Neural PDE Solver

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MAgNet: Mesh Agnostic Neural PDE Solver

    Dan Assouline, Loubna Benabbou, Yoshua Bengio, Oussama Boussif p31972-31985 from Advances in Neural Information Processing Systems 35
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  • Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function

    Pan Gao, Ying Hu, Chenyi Zhuang p57115-57149 from Advances in Neural Information Processing Systems 37
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  • Magnetic Recoverable Ag3PO4/Fe3O4/γ-Fe2O3 Nanocomposite

    ECOS 2023

    Magnetic Recoverable Ag3PO4/Fe3O4/γ-Fe2O3 Nanocomposite

    Jenifer Vaswani Reboso, Dunia Esther Santiago García, José Jaime Sadhwani Alonso p3111-3119 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization

    Yanxia Deng, Xin Li, Naigang Wang, Zi Yang, Penghang Yin, Aozhong Zhang p85109-85130 from Advances in Neural Information Processing Systems 37
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  • Maha Kumbh 2025: Economic Growth for Local Businesses, Retail, and Hospitality, as well as Infrastructure and Governmental Arrangements

    IRTTHI

    Maha Kumbh 2025: Economic Growth for Local Businesses, Retail, and Hospitality, as well as Infrastructure and Governmental Arrangements

    Shivani Sharma, Trilochan Kumar p132-139 from 2nd International Conference on Innovation and Regenerative Trends in Tourism and Hospitality Industry (IRTTHI 2025)
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  • Maia-2: A Unified Model for Human-AI Alignment in Chess

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maia-2: A Unified Model for Human-AI Alignment in Chess

    Ashton Anderson, Difan Jiao, Jon Kleinberg, Reid McIlroy-Young, Siddhartha Sen, Zhenwei Tang p20919-20944 from Advances in Neural Information Processing Systems 37
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  • MAJOR FINDINGS FROM SHAKE TABLE TESTS OF A FULL-SCALE TEN STORY MASS TIMBER BUILDING

    World Conference on Timber Engineering 2025

    MAJOR FINDINGS FROM SHAKE TABLE TESTS OF A FULL-SCALE TEN STORY MASS TIMBER BUILDING

    Shiling Pei p3547-3556 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis

    Tzu-Yin Chao, Pin-Yu Chen, Wei-Chen Chiu, Ching-Chun Huang, Yu-Hsuan Li p22477-22489 from Advances in Neural Information Processing Systems 35
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  • Make Continual Learning Stronger via C-Flat

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Make Continual Learning Stronger via C-Flat

    Ang Bian, Tao Feng, Pengliang Ji, Wei Li, Aojun Lu, Mang Wang, Chengrong Yu, Hangjie Yuan, Zixiang Zhao p7608-7630 from Advances in Neural Information Processing Systems 37
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  • Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning

    Baohao Liao, Christof Monz, Shaomu Tan p15186-15209 from Advances in Neural Information Processing Systems 36
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