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  • Back to the Future: Achieving Resilient, Sustainable Grasslands Through Restoration of Ecological Norms; Productive Grasslands – the Role of Adapted Species to Increase Ecosystems Resilience

    International Grassland Congress 2023

    Back to the Future: Achieving Resilient, Sustainable Grasslands Through Restoration of Ecological Norms; Productive Grasslands – the Role of Adapted Species to Increase Ecosystems Resilience

    M. B. Chiavegato, A. F. Mammana, C. Y. Rodriguez p85-87 from XXV International Grassland Congress (IGC 2023)
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  • Back to the Future: How Do We Get There from Here? Making Restoration Work

    International Grassland Congress 2023

    Back to the Future: How Do We Get There from Here? Making Restoration Work

    K. Swilling, E. Bisangwa, C. Bitler, P. Keyser p307-310 from XXV International Grassland Congress (IGC 2023)
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  • Back-Face Dynamic Profiling System, a Tool for Behind-Armour Blunt Trauma

    Royal Military Academy (Belgium)

    Back-Face Dynamic Profiling System, a Tool for Behind-Armour Blunt Trauma

    A. Goertz, A. Dannaoui, A. Brown, D. Sherman, C. Bir, K. Rafaels p322-331 from 17th Personal Armour Systems Symposium (PASS 2025)
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  • BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment

    Muhao Chen, Junjie Hu, Bo Li, Jiazhao Li, Yiquan Li, Yixuan Li, Patrick McDaniel, Xiangyu Qi, Jiongxiao Wang, Chaowei Xiao p5210-5243 from Advances in Neural Information Processing Systems 37
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  • BackTime: Backdoor Attacks on Multivariate Time Series Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BackTime: Backdoor Attacks on Multivariate Time Series Forecasting

    Dongqi Fu, Xiao Lin, Zhining Liu, Ruizhong Qiu, Hanghang Tong p131344-131368 from Advances in Neural Information Processing Systems 37
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  • BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models

    Xiao Li, Qijun Luo, Hengxu Yu p24926-24958 from Advances in Neural Information Processing Systems 37
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  • Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

    Fan LIU, Hao LIU, Zhao XU p32219-32250 from Advances in Neural Information Processing Systems 37
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  • BAKU: An Efficient Transformer for Multi-Task Policy Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BAKU: An Efficient Transformer for Multi-Task Policy Learning

    Siddhant Haldar, Zhuoran Peng, Lerrel Pinto p141208-141239 from Advances in Neural Information Processing Systems 37
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  • Balanced Architecture: Optimizing Human Habitability and Spin Stability in an Artificial Gravity Space Station

    International Astronautical Federation (IAF)

    Balanced Architecture: Optimizing Human Habitability and Spin Stability in an Artificial Gravity Space Station

    Molly McCormick p102-110 from IAF Human Spaceflight Symposium
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  • Balancing Context Length and Mixing Times for Reinforcement Learning at Scale

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Balancing Context Length and Mixing Times for Reinforcement Learning at Scale

    Sarath Chandar, Khimya Khetarpal, Janarthanan Rajendran, Matthew Riemer p80268-80302 from Advances in Neural Information Processing Systems 37
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  • BALANCING FASTENER SPACING, ACOUSTICS, AND SPAN LENGTH IN EXPOSED CLT FLOOR-CEILING ASSEMBLIES

    World Conference on Timber Engineering 2025

    BALANCING FASTENER SPACING, ACOUSTICS, AND SPAN LENGTH IN EXPOSED CLT FLOOR-CEILING ASSEMBLIES

    Simon Cleghorn, Aedan Callaghan p1416-1422 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Balancing Regulation, Sustainability, and Growth in the Space Industry: Insights from Industry Interviews

    International Astronautical Federation (IAF)

    Balancing Regulation, Sustainability, and Growth in the Space Industry: Insights from Industry Interviews

    Ioana Petrescu p431-444 from 37th IAA Symposium on Space Policy, Regulations and Economics
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