Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

    Sai Akula, Ellis Brown, Rob Fergus, Adithya Iyer, Yann LeCun, Manoj Middepogu, Xichen Pan, Shengbang Tong, Austin Wang, Sanghyun Woo, Penghao Wu, Saining Xie, Jihan Yang, Shusheng Yang p87310-87356 from Advances in Neural Information Processing Systems 37
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  • Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies

    Frédéric Berdoz, Roger Wattenhofer p99867-99897 from Advances in Neural Information Processing Systems 37
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  • Can Graph Learning Improve Planning in LLM-based Agents?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Graph Learning Improve Planning in LLM-based Agents?

    Wei Chen, Hong Cheng, Jiarui Feng, Dongsheng Li, Caihua Shan, Yifei Shen, Kaitao Song, Siwei Wang, Xixi Wu, Yun Xiong, Bohang Zhang p5338-5383 from Advances in Neural Information Processing Systems 37
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  • Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach

    Renhong Huang, Mingli Song, Chunping Wang, Jiarong Xu, Yang Yang, Hanyang Yuan p69361-69385 from Advances in Neural Information Processing Systems 37
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  • Can Language Models Learn to Skip Steps?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Language Models Learn to Skip Steps?

    Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Tengxiao Liu, Xipeng Qiu, Yue Zhang, Zheng Zhang p45359-45385 from Advances in Neural Information Processing Systems 37
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  • Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?

    Bo Han, Yiwen Luo, Rong Tao, Zengmao Wang, Zhanke Zhou, Jianing Zhu p123846-123910 from Advances in Neural Information Processing Systems 37
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  • Can Large Language Model Agents Simulate Human Trust Behavior?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Large Language Model Agents Simulate Human Trust Behavior?

    Adel Bibi, Canyu Chen, James Evans, Bernard Ghanem, Jindong Gu, Ziniu Hu, Feiran Jia, David Jurgens, Shiyang Lai, Guohao Li, Kai Shu, Philip Torr, Chengxing Xie, Ziyu Ye p15674-15729 from Advances in Neural Information Processing Systems 37
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  • Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models

    Weize Chen, Qizhi Chu, Haopeng Li, Ran Li, Xin Li, Zhiyuan Liu, Chen Qian, Chuan Shi, Maosong Sun, Zhaojun Sun, Yiwei Wei, Cheng Yang p141045-141070 from Advances in Neural Information Processing Systems 37
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  • Can large language models explore in-context?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can large language models explore in-context?

    Dylan Foster, Keegan Harris, Akshay Krishnamurthy, Aleksandrs Slivkins, Cyril Zhang 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?

    Jakob Foerster, Alexander Goldie, Matthew Jackson, Chris Lu, Shimon Whiteson p5454-5497 from Advances in Neural Information Processing Systems 37
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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?

    Zhezhen Cao, Yinlin Deng, Meiziniu Li, Chunqiu Xia, 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

    Matthew Blaschko, Guohao Dai, Tianyu Fu, Shiyao Li, Zinan Lin, Xuefei Ning, Yu Wang, Zifu Wang, Huazhong Yang, Peiran Yao 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

    Nitesh Chawla, Kehan Guo, Taicheng Guo, Zhichun Guo, Zhenwen Liang, Bozhao Nan, Mihir Surve, Olaf Wiest, Xiangliang Zhang, Yujun Zhou 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?

    Sanjeev Arora, Anirudh Goyal, Simran Kaur, Dingli Yu, Haoyu Zhao 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?

    Maarten de Hoop, Takashi Furuya, Matti Lassas, Michael Puthawala p98936-98993 from Advances in Neural Information Processing Systems 37
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  • Can Simple Averaging Defeat Modern Watermarks?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Simple Averaging Defeat Modern Watermarks?

    Hai Ci, Mike Zheng Shou, Yiren Song, Pei Yang p56644-56673 from Advances in Neural Information Processing Systems 37
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  • Can Transformers Smell Like Humans?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Transformers Smell Like Humans?

    Mårten Björkman, Danica Kragic, Antônio Ribeiro, Farzaneh Taleb, Miguel Vasco p72032-72060 from Advances in Neural Information Processing Systems 37
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  • Can We Leave Deepfake Data Behind in Training Deepfake Detector?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can We Leave Deepfake Data Behind in Training Deepfake Detector?

    Jikang Cheng, Chen Li, Yuhao Luo, Zhongyuan Wang, Zhiyuan Yan, Ying Zhang p21979-21998 from Advances in Neural Information Processing Systems 37
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  • CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities

    Shivvrat Arya, Bharath Challa, Vibhav Gogate, Bhavya Gouripeddi, Vasundhara Komaragiri, Likhitha Pallapothula, Rohith Peddi, Eric Ragan, Nicholas Ruozzi, Akshay Vyas, Jikai Wang, Yu Xiang, Qifan Zhang p135626-135679 from Advances in Neural Information Processing Systems 37
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  • Capturing the denoising effect of PCA via compression ratio

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Capturing the denoising effect of PCA via compression ratio

    Nikhil Deorkar, Chandra Sekhar Mukherjee, Jiapeng Zhang p26136-26170 from Advances in Neural Information Processing Systems 37
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  • Cardinality-Aware Set Prediction and Top-$k$ Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Cardinality-Aware Set Prediction and Top-$k$ Classification

    Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong p18265-18309 from Advances in Neural Information Processing Systems 37
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  • CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes

    Anima Anandkumar, Frances Arnold, Shengchao Liu, Ariane Mora, Bruce Wittmann, Jason Yang, Yisong Yue p3094-3121 from Advances in Neural Information Processing Systems 37
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  • CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

    Chetan Bansal, Ze Chen, Zhiyuan Fan, Zongyuan Ge, Yangrui Gong, Ruibo Hou, Junzhou Huang, Gang Li, Yun Li, Marc Niethammer, Jimeng Sun, Juanxi Tian, Xiao Wang, Zhaoyang Wang, Zhenbang Wu, Peng Xia, Yue Xu, Huaxiu Yao, Xuchao Zhang, et al. p140334-140365 from Advances in Neural Information Processing Systems 37
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  • Carrot and Stick: Eliciting Comparison Data and Beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Carrot and Stick: Eliciting Comparison Data and Beyond

    Yiling Chen, Shi Feng, Fang-Yi Yu p104595-104629 from Advances in Neural Information Processing Systems 37
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