Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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 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 YĂĽce, Amartya Sanyal, Fanny Yang p21960-21982 from Advances in Neural Information Processing Systems 36
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  • Can Simple Averaging Defeat Modern Watermarks?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Simple Averaging Defeat Modern Watermarks?

    Pei Yang, Hai Ci, Yiren Song, Mike Zheng Shou 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?

    Farzaneh Taleb, Miguel Vasco, Antônio Ribeiro, Mårten Björkman, Danica Kragic 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, Zhiyuan Yan, Ying Zhang, Yuhao Luo, Zhongyuan Wang, Chen Li p21979-21998 from Advances in Neural Information Processing Systems 37
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  • Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data

    Boris Van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela Van Der Schaar p1889-1904 from Advances in Neural Information Processing Systems 36
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  • Canonical normalizing flows for manifold learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Canonical normalizing flows for manifold learning

    Kyriakos Flouris, Ender Konukoglu p27294-27314 from Advances in Neural Information Processing Systems 36
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  • CAP:  Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models

    Denis Kuznedelev, Eldar Kurtic, Elias Frantar, Dan Alistarh p28805-28831 from Advances in Neural Information Processing Systems 36
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  • CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation

    Pengyun Zhu, Long Wen, Jinfei Liu, Feng Xue, Jian Lou, Zhibo Wang, Kui Ren p46773-46785 from Advances in Neural Information Processing Systems 36
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  • Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer

    Bowen Tan, Yun Zhu, Lijuan Liu, Eric Xing, Zhiting Hu, Jindong Chen p58875-58889 from Advances in Neural Information Processing Systems 36
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  • CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes

    Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji p53565-53592 from Advances in Neural Information Processing Systems 36
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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

    Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Bhavya Gouripeddi, Qifan Zhang, Jikai Wang, Vasundhara Komaragiri, Eric Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate p135626-135679 from Advances in Neural Information Processing Systems 37
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  • Capturing Failures of Large Language Models Via Human Cognitive Biases

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Capturing Failures of Large Language Models Via Human Cognitive Biases

    Erik Jones, Jacob Steinhardt p11785-11799 from Advances in Neural Information Processing Systems 35
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  • Capturing Graphs with Hypo-Elliptic Diffusions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Capturing Graphs with Hypo-Elliptic Diffusions

    Csaba Toth, Darrick Lee, Celia Hacker, Harald Oberhauser p38803-38817 from Advances in Neural Information Processing Systems 35
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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

    Chandra Sekhar Mukherjee, Nikhil Deorkar, Jiapeng Zhang p26136-26170 from Advances in Neural Information Processing Systems 37
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  • CARD: Classification and Regression Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CARD: Classification and Regression Diffusion Models

    Xizewen Han, Huangjie Zheng, Mingyuan Zhou p18100-18115 from Advances in Neural Information Processing Systems 35
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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-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care

    Tong Xiang, Liangzhi Li, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia p42358-42381 from Advances in Neural Information Processing Systems 36
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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

    Jason Yang, Ariane Mora, Shengchao Liu, Bruce Wittmann, Anima Anandkumar, Frances Arnold, Yisong Yue p3094-3121 from Advances in Neural Information Processing Systems 37
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