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2025-08-14 至 2025-08-14 共收录 6 信号源:cs.CL, cs.AI, cs.LG

1. 其他推理 6 篇

2410.00318 2025-08-14 cs.AI q-bio.NC 79%

Probing Mechanical Reasoning in Large Vision Language Models

Haoran Sun, Qingying Gao, Haiyun Lyu, Dezhi Luo, Yijiang Li, Hokin Deng

机构 * Johns Hopkins University(约翰霍普金斯大学) University of North Carolina Chapel Hill(北卡罗来纳大学教堂山分校) University of Michigan(密歇根大学) University of California San Diego(加州大学圣地亚哥分校) Carnegie Mellon University(卡内基梅隆大学)

专题命中 其他推理 :reasoning(title,abstract);分类 cs.AI

Comments Published at the ICLR 2025 Workshop on Bidirectional Human-AI Alignment (BiAlign)

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2508.09834 2025-08-14 cs.CL cs.AI cs.CV 62%

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models

Weigao Sun, Jiaxi Hu, Yucheng Zhou, Jusen Du, Disen Lan, Kexin Wang, Tong Zhu, Xiaoye Qu, Yu Zhang, Xiaoyu Mo, Daizong Liu, Yuxuan Liang, Wenliang Chen, Guoqi Li, Yu Cheng

机构 * Shanghai AI Laboratory(上海人工智能实验室) HKUST (GZ)(香港科技大学) University of Macau(澳门大学) Institute of Automation Chinese Academy of Sciences(中国科学院自动化研究所) Soochow University(苏州大学) KTH Royal Institute of Technology(皇家理工学院) Peking University(北京大学) The Chinese University of Hong Kong(香港中文大学)

专题命中 其他推理 :reasoning(abstract);分类 cs.CL、cs.AI

Comments Survey, 82 pages, GitHub: https://github.com/weigao266/Awesome-Efficient-Arch

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2508.09713 2025-08-14 cs.CL cs.AI 62%

Evaluating the Role of Large Language Models in Legal Practice in India

Rahul Hemrajani

机构 * National Law School of India(印度国家法律学校)

专题命中 其他推理 :reasoning(abstract);分类 cs.CL、cs.AI

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2404.13131 2025-08-14 cs.CY cs.AI cs.LG 62%

From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap

Tianqi Kou

机构 * Penn State University(宾夕法尼亚州立大学)

专题命中 其他推理 :reasoning(abstract);分类 cs.AI、cs.LG

Comments FAccT 2024

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2508.09460 2025-08-14 cs.IR 50%

Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation

Xujie Yuan, Shimin Di, Jielong Tang, Libin Zheng, Jian Yin

专题命中 其他推理 :reasoning(abstract)

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2507.22398 2025-08-14 cs.CV 50%

On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations

Jordan Vice, Naveed Akhtar, Yansong Gao, Richard Hartley, Ajmal Mian

机构 * University of Western Australia(西澳大学) University of Melbourne(墨尔本大学) Australian National University(澳大利亚国立大学)

专题命中 其他推理 :reasoning(abstract)

Comments Keywords: Vision-Language Models, Frequency-Domain Perturbations, Adversarial Robustness, Image Authenticity, Reliability

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