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

    Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, Yu Cheng p51963-51993 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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, Sachin Kumar, Hila Gonen, Valentin Hofmann, Tomasz Limisiewicz, Yulia Tsvetkov, Noah Smith p47790-47814 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • MAgNet: Mesh Agnostic Neural PDE Solver

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MAgNet: Mesh Agnostic Neural PDE Solver

    Oussama Boussif, Yoshua Bengio, Loubna Benabbou, Dan Assouline p31972-31985 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Chenyi Zhuang, Ying Hu, Pan Gao p57115-57149 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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)
    Our Price: $0.00
  • 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

    Aozhong Zhang, Naigang Wang, Yanxia Deng, Xin Li, Zi Yang, Penghang Yin p85109-85130 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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)
    Our Price: $0.00
  • 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

    Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson p20919-20944 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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)
    Our Price: $0.00
  • 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

    Yu-Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu p22477-22489 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Make Continual Learning Stronger via C-Flat

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Make Continual Learning Stronger via C-Flat

    Ang Bian, Wei Li, Hangjie Yuan, Chengrong Yu, Mang Wang, Zixiang Zhao, Aojun Lu, Pengliang Ji, Tao Feng p7608-7630 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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, Shaomu Tan, Christof Monz p15186-15209 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00