Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents

    Nika Haghtalab, Chara Podimata, Kunhe Yang p61645-61677 from Advances in Neural Information Processing Systems 36
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  • 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

    Arnaud Delaunoy, Maciej Falkiewicz, Alexandros Kalousis, Gilles Louppe, Imahn Shekhzadeh, Naoya Takeishi, Antoine Wehenkel 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

    Jizhou Guo, Shuai Li, Zhihui Xie, Tong Yu 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

    Yuqing Kong, Yuxuan Lu 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

    Stefano Ermon, Charlie Marx, Sofian Zalouk 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

    Ronen Basri, Arkabandhu Chowdhury, Jonas Geiping, Tom Goldstein, David Jacobs, Gowthami Somepalli 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

    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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  • 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

    Bernard Ghanem, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, Guohao Li 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

    Ke Li, Phoenix Williams 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

    Shuqiang Jiang, Yuehu Liu, Xinhang Song, Beibei Wang, Xiaohan Wang 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?

    Songcan Chen, Lei Feng, Sheng-Jun Huang, Lue Tao, Hongxin Wei, Jinfeng Yi 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?

    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 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, Michael Perlmutter, Frederik Wenkel, 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?

    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 Language Models Solve Graph Problems in Natural Language?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Language Models Solve Graph Problems in Natural Language?

    Shangbin Feng, Xiaochuang Han, Tianxing He, Zhaoxuan Tan, Yulia Tsvetkov, Heng Wang 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

    Mohit Bansal, Peter Hase, Swarnadeep Saha 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?

    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 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

    Kevin Chang, Reynold Cheng, Ma Chenhao, Ruiying Geng, Fei Huang, Binyuan Hui, Nan Huo, Binhua Li, Bowen Li, Guoliang Li, Jinyang Li, Yongbin Li, Bowen Qin, Ge Qu, Bailin Wang, Jiaxi Yang, Xuanhe Zhou p42330-42357 from Advances in Neural Information Processing Systems 36
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