Paper

  • Can large language models explore in-context?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can large language models explore in-context?

    Akshay Krishnamurthy, Keegan Harris, Dylan Foster, Cyril Zhang, Aleksandrs Slivkins p120124-120158 from Advances in Neural Information Processing Systems 37
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  • Can Learned Optimization Make Reinforcement Learning Less Difficult?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Learned Optimization Make Reinforcement Learning Less Difficult?

    Alexander Goldie, Chris Lu, Matthew Jackson, Shimon Whiteson, Jakob Foerster p5454-5497 from Advances in Neural Information Processing Systems 37
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  • Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

    Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, Xuanhe Zhou, Ma Chenhao, Guoliang Li, Kevin Chang, Fei Huang, Reynold Cheng, Yongbin Li p42330-42357 from Advances in Neural Information Processing Systems 36
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  • Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?

    Yinlin Deng, Chunqiu Xia, Zhezhen Cao, Meiziniu Li, Lingming Zhang p54205-54238 from Advances in Neural Information Processing Systems 37
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  • Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study

    Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew Blaschko, Guohao Dai, Huazhong Yang, Yu Wang p71188-71239 from Advances in Neural Information Processing Systems 37
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  • Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation

    Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh Chawla, Olaf Wiest, Xiangliang Zhang p134721-134746 from Advances in Neural Information Processing Systems 37
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  • Can Models Learn Skill Composition from Examples?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Models Learn Skill Composition from Examples?

    Haoyu Zhao, Simran Kaur, Dingli Yu, Anirudh Goyal, Sanjeev Arora p102393-102427 from Advances in Neural Information Processing Systems 37
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  • Can neural operators always be continuously discretized?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can neural operators always be continuously discretized?

    Takashi Furuya, Michael Puthawala, Maarten De Hoop, Matti Lassas p98936-98993 from Advances in Neural Information Processing Systems 37
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  • Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?

    Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu p38297-38310 from Advances in Neural Information Processing Systems 36
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  • Can Push-Forward Generative Models Fit Multimodal Distributions?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Push-Forward Generative Models Fit Multimodal Distributions?

    Antoine Salmona, Valentin De Bortoli, Julie Delon, Agnes Desolneux p10766-10779 from Advances in Neural Information Processing Systems 35
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  • CAN RISING DEMAND FOR TIMBER IN CONSTRUCTION ACCELERATE DEFORESTATION?

    World Conference on Timber Engineering 2023 (WCTE 2023)

    CAN RISING DEMAND FOR TIMBER IN CONSTRUCTION ACCELERATE DEFORESTATION?

    Eduardo Rojas Briales, Simon Flinn p4190-4200 from World Conference on Timber Engineering (WCTE 2023)
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  • Can semi-supervised learning use all the data effectively? A lower bound perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can semi-supervised learning use all the data effectively? A lower bound perspective

    Alexandru Tifrea, Gizem Yüce, Amartya Sanyal, Fanny Yang p21960-21982 from Advances in Neural Information Processing Systems 36
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