Paper

  • Efficient multi-prompt evaluation of LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient multi-prompt evaluation of LLMs

    Onkar Bhardwaj, Leshem Choshen, Allysson de Oliveira, Felipe Polo, Mírian Silva, Yuekai Sun, Lucas Weber, Ronald Xu, Mikhail Yurochkin p22483-22512 from Advances in Neural Information Processing Systems 37
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  • Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters

    Bin Cui, Fangcheng Fu, Jiawei Jiang, Yifei Xia, Wentao Zhang p63686-63714 from Advances in Neural Information Processing Systems 37
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  • Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance

    Jian Cheng, Haobo Fu, Qiang Fu, Jinmin He, Kai Li, Junliang Xing, Yifan Zang p117997-118024 from Advances in Neural Information Processing Systems 37
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  • Efficient Policy Evaluation Across Multiple Different Experimental Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Policy Evaluation Across Multiple Different Experimental Datasets

    Alexis Bellot, Yonghan Jung p136361-136392 from Advances in Neural Information Processing Systems 37
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  • Efficient Prompt Optimization Through the Lens of Best Arm Identification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Prompt Optimization Through the Lens of Best Arm Identification

    Zihan Chen, Jundong Li, Cong Shen, Chengshuai Shi, Jing Yang, Kun Yang p99646-99685 from Advances in Neural Information Processing Systems 37
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  • Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate

    Zefang Huang, Fan-Ming Luo, Zuolin Tu, Yang Yu p48484-48518 from Advances in Neural Information Processing Systems 37
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  • Efficient Reinforcement Learning by Discovering Neural Pathways

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Reinforcement Learning by Discovering Neural Pathways

    Samin Yeasar Arnob, Riyasat Ohib, Sergey Plis, Doina Precup, Alessandro Sordoni, Amy Zhang p18660-18694 from Advances in Neural Information Processing Systems 37
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  • Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction

    Wei Jiang, Sifan Yang, Wenhao Yang, Lijun Zhang p33891-33932 from Advances in Neural Information Processing Systems 37
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  • Efficient Sketches for Training Data Attribution and Studying the Loss Landscape

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Sketches for Training Data Attribution and Studying the Loss Landscape

    Andrea Schioppa p37692-37735 from Advances in Neural Information Processing Systems 37
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  • Efficient Solving of Time-Coupled Energy System MILP Models Using a Problem Specific LP Relaxation

    ECOS 2023

    Efficient Solving of Time-Coupled Energy System MILP Models Using a Problem Specific LP Relaxation

    Stefan Kirschbaum, Marion Powilleit, Merlind Schotte, Furkan Özbeg p2774-2785 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Efficient Streaming Algorithms for Graphlet Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Streaming Algorithms for Graphlet Sampling

    Yann Bourreau, Marco Bressan, T-H. Hubert Chan, Qipeng Kuang, Mauro Sozio p20081-20110 from Advances in Neural Information Processing Systems 37
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  • Efficient Temporal Action Segmentation via Boundary-aware Query Voting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Efficient Temporal Action Segmentation via Boundary-aware Query Voting

    Erik Blasch, Yuewei Lin, Haibin Ling, Peiyao Wang, Jie Wei p37765-37790 from Advances in Neural Information Processing Systems 37
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