Paper

  • Can it Take the Heat: Analyzing the Behavior and Performance of Composite Repair Systems in Elevated Temperature Environments

    Clarion Technical Conferences

    Can it Take the Heat: Analyzing the Behavior and Performance of Composite Repair Systems in Elevated Temperature Environments

    Chris Alexander, Russell Giudici, Travis Greenstreet p461-474 from 37th International Pipeline Pigging and Integrity Management Conference (PPIM 2025)
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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 Leadership in the Growth Stage Predict the Future Leader of the Organization? Evidence from China Family Panel Study 2020

    Aussino Academic Publishing House (AAPH)

    Can Leadership in the Growth Stage Predict the Future Leader of the Organization? Evidence from China Family Panel Study 2020

    Dong Wu, Xun Ye p1611-1619 from 11th International Symposium on Project Management (ISPM2023)
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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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  • 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?

    Zhezhen Cao, Yinlin Deng, Meiziniu Li, Chunqiu Xia, Lingming Zhang p54205-54238 from Advances in Neural Information Processing Systems 37
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