Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability

    Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis p1082-1099 from Advances in Neural Information Processing Systems 36
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  • Calibrating Reasoning in Language Models with Internal Consistency

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Calibrating Reasoning in Language Models with Internal Consistency

    Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li p114872-114901 from Advances in Neural Information Processing Systems 37
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  • Calibrating “Cheap Signals” in Peer Review without a Prior

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Calibrating “Cheap Signals” in Peer Review without a Prior

    Yuxuan Lu, Yuqing Kong p20640-20661 from Advances in Neural Information Processing Systems 36
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  • Calibration by Distribution Matching: Trainable Kernel Calibration Metrics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Calibration by Distribution Matching: Trainable Kernel Calibration Metrics

    Charlie Marx, Sofian Zalouk, Stefano Ermon p25910-25928 from Advances in Neural Information Processing Systems 36
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  • CALVIN: Improved Contextual Video Captioning via Instruction Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CALVIN: Improved Contextual Video Captioning via Instruction Tuning

    Gowthami Somepalli, Arkabandhu Chowdhury, Ronen Basri, Jonas Geiping, Tom Goldstein, David Jacobs p92983-93010 from Advances in Neural Information Processing Systems 37
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  • 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

    Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann Lecun, Saining Xie p87310-87356 from Advances in Neural Information Processing Systems 37
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  • CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

    Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem p51991-52008 from Advances in Neural Information Processing Systems 36
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  • CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches

    Phoenix Williams, Ke Li p67269-67283 from Advances in Neural Information Processing Systems 36
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  • CaMP: Causal Multi-policy Planning for Interactive Navigation in  Multi-room Scenes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room Scenes

    Xiaohan Wang, Yuehu Liu, Xinhang Song, Beibei Wang, Shuqiang Jiang p15855-15868 from Advances in Neural Information Processing Systems 36
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  • Can Adversarial Training Be Manipulated by Non-Robust Features?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Adversarial Training Be Manipulated by Non-Robust Features?

    Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen p26504-26518 from Advances in Neural Information Processing Systems 35
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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?

    Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li 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

    Hanyang Yuan, Jiarong Xu, Renhong Huang, Mingli Song, Chunping Wang, Yang Yang p69361-69385 from Advances in Neural Information Processing Systems 37
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  • Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?

    Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf p22713-22724 from Advances in Neural Information Processing Systems 35
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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?

    Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, 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?

    Zhanke Zhou, Rong Tao, Jianing Zhu, Yiwen Luo, Zengmao Wang, Bo Han p123846-123910 from Advances in Neural Information Processing Systems 37
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  • Can Language Models Solve Graph Problems in Natural Language?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Language Models Solve Graph Problems in Natural Language?

    Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov p30840-30861 from Advances in Neural Information Processing Systems 36
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  • Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization

    Swarnadeep Saha, Peter Hase, Mohit Bansal p62869-62891 from Advances in Neural Information Processing Systems 36
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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?

    Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip Torr, Bernard Ghanem, Guohao Li 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

    Xin Li, Weize Chen, Qizhi Chu, Haopeng Li, Zhaojun Sun, Ran Li, Chen Qian, Yiwei Wei, Zhiyuan Liu, Chuan Shi, Maosong Sun, 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?

    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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