Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Can Class-Priors Help Single-Positive Multi-Label Learning?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Class-Priors Help Single-Positive Multi-Label Learning?

    Biao Liu, Ning Xu, Jie Wang, Xin Geng p23553-23582 from Advances in Neural Information Processing Systems 38
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  • Can Dependencies Induced by LLM-Agent Workflows Be Trusted?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Dependencies Induced by LLM-Agent Workflows Be Trusted?

    Yu Yao, Yiliao (Lia) Song, Yian Xie, Mengdan Fan, Mingyu Guo, Tongliang Liu p19776-19814 from Advances in Neural Information Processing Systems 38
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  • Can Diffusion Models Disentangle? A Theoretical Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Diffusion Models Disentangle? A Theoretical Perspective

    Liming Wang, Muhammad Jehanzeb Mirza, Yishu Gong, Yuan Gong, Jiaqi Zhang, Brian Tracey, Katerina Placek, Marco Vilela, Jim Glass p477-536 from Advances in Neural Information Processing Systems 38
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  • Can DPO Learn Diverse Human Values? A Theoretical Scaling Law

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can DPO Learn Diverse Human Values? A Theoretical Scaling Law

    Shawn Im, Sharon Li p33210-33246 from Advances in Neural Information Processing Systems 38
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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 Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?

    Junchi Yu, Yujie Liu, Jindong Gu, Philip Torr, Dongzhan Zhou p106058-106087 from Advances in Neural Information Processing Systems 38
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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 Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark

    Hanlei Zhang, zhuohang li, Hua Xu, Yeshuang Zhu, Peiwu Wang, Haige Zhu, Jie Zhou, Jinchao Zhang p118379-118408 from Advances in Neural Information Processing Systems 38
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  • Can Large Language Models Master Complex Card Games?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Large Language Models Master Complex Card Games?

    Wei Wang, Fuqing Bie, Junzhe Chen, Dan Zhang, Shiyu Huang, Evgeny Kharlamov, Jie Tang p28054-28089 from Advances in Neural Information Processing Systems 38
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  • Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind

    Qingmei Li, Yang Zhang, Zurong Mai, Yuhang Chen, Shuohong Lou, Henglian Huang, Jiarui Zhang, Zhiwei Zhang, Yibin Wen, Weijia Li, Haohuan Fu, Huang Jianxi, Juepeng Zheng p175137-175195 from Advances in Neural Information Processing Systems 38
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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 Correct Themselves? A Benchmark of Self-Correction in LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs

    Guiyao Tie, Zenghui Yuan, Zeli Zhao, Chaoran Hu, Tianhe Gu, Ruihang Zhang, Sizhe Zhang, Junran Wu, Xiaoyue Tu, Ming Jin, Qingsong Wen, Lixing Chen, Pan Zhou, Lichao Sun p179107-179153 from Advances in Neural Information Processing Systems 38
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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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  • 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 Outshine Conventional Recommenders? A Comparative Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation

    Qijiong Liu, Jieming Zhu, Lu Fan, Kun Wang, Hengchang Hu, Wei Guo, Yong Liu, Xiao-Ming Wu p14166-14194 from Advances in Neural Information Processing Systems 38
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