Paper

  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00