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检索条件"机构=LIACC-Artificial Intelligence and Computer Science Laboratory"
8893 条 记 录,以下是61-70 订阅
排序:
Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models without Preference Data
Inverse-Q*: Token Level Reinforcement Learning for Aligning ...
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2024 Findings of the Association for Computational Linguistics, EMNLP 2024
作者: Xia, Han Gao, Songyang Ge, Qiming Xi, Zhiheng Zhang, Qi Huang, Xuanjing School of Computer Science Fudan University Shanghai China Shanghai Artificial Intelligence Laboratory Shanghai China
Reinforcement Learning from Human Feedback (RLHF) has proven effective in aligning large language models with human intentions, yet it often relies on complex methodologies like Proximal Policy Optimization (PPO) that... 详细信息
来源: 评论
Advancements in Cardiotoxicity Detection and Assessment through artificial intelligence: A Comprehensive Review  4
Advancements in Cardiotoxicity Detection and Assessment thro...
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4th International Conference on Innovative Research in Applied science, Engineering and Technology, IRASET 2024
作者: Bouatmane, Ahmed Daaif, Abdelaziz Bousselham, Abdelmajid Higher Normal School Of Technical Education Computer Science Artificial Intelligence And Cybersecurity Laboratory Mohammadia Morocco
This comprehensive review critically examines the forefront of artificial intelligence (AI) applications in cardiology, focusing on detecting and assessing cardiotoxicity and heart failure. It discusses various studie... 详细信息
来源: 评论
UKF‐MOT:An unscented Kalman filter‐based 3D multi‐object tracker
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CAAI Transactions on intelligence Technology 2024年 第4期9卷 1031-1041页
作者: Meng Liu Jianwei Niu Yu Liu Collective Intelligence&Collaboration Laboratory China North Artificial Intelligence and Innovation Research InstituteBeijingChina China North Vehicle Research Institute BeijingChina State Key Laboratory of Software Development Environment School of Computer Science and EngineeringBeihang UniversityBeijingChina State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijingChina School of Computer Science and Engineering Beihang UniversityBeijingChina
Multi‐object tracking in autonomous driving is a non‐linear *** better address the tracking problem,this paper leveraged an unscented Kalman filter to predict the object's *** the association stage,the Mahalanob... 详细信息
来源: 评论
ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction  39
ScholarGEC: Enhancing Controllability of Large Language Mode...
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39th Annual AAAI Conference on artificial intelligence, AAAI 2025
作者: Kong, Zixiao Wang, Xianquan Shen, Shuanghong Zhu, Keyu Xu, Huibo Su, Yu Institute of Advanced Technology State Key Laboratory of Cognitive Intelligence University of Science and Technology of China China Institute of Artificial Intelligence Hefei Comprehensive National Science Center China School of Computer Science and Artificial Intelligence Hefei Normal University China
Large language models (LLMs) have demonstrated exceptional error detection capabilities and can correct sentences with high fluency in grammatical error correction (GEC) tasks. However, when correcting Chinese academi...
来源: 评论
Survey of Distributed Computing Frameworks for Supporting Big Data Analysis
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Big Data Mining and Analytics 2023年 第2期6卷 154-169页
作者: Xudong Sun Yulin He Dingming Wu Joshua Zhexue Huang College of Computer Science and Software Engineering Shenzhen UniversityShenzhen 518060China Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ) Shenzhen 518107China
Distributed computing frameworks are the fundamental component of distributed computing *** provide an essential way to support the efficient processing of big data on clusters or *** size of big data increases at a p... 详细信息
来源: 评论
Unveiling factuality and injecting knowledge for LLMs via reinforcement learning and data proportion
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science China(Information sciences) 2024年 第10期67卷 389-390页
作者: Wenjun KE Ziyu SHANG Zhizhao LUO Peng WANG Yikai GUO Qi LIU Yuxuan CHEN School of Computer Science and Engineering Southeast University Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications(Southeast University) Beijing Institute of Technology Zhuhai Beijing Institute of Computer Technology and Application
Large language models(LLMs) have demonstrated remarkable effectiveness across various natural language processing(NLP) tasks, as evidenced by recent studies [1, 2]. However, these models often produce responses that c...
来源: 评论
BONGARD-OPENWORLD: FEW-SHOT REASONING FOR FREE-FORM VISUAL CONCEPTS IN THE REAL WORLD  12
BONGARD-OPENWORLD: FEW-SHOT REASONING FOR FREE-FORM VISUAL C...
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12th International Conference on Learning Representations, ICLR 2024
作者: Wu, Rujie Ma, Xiaojian Zhang, Zhenliang Wang, Wei Li, Qing Zhu, Song-Chun Wang, Yizhou School of Computer Science Peking University China National Key Laboratory of General Artificial Intelligence BIGAI China School of Intelligence Science and Technology Peking University China Institute for Artificial Intelligence Peking University China
We introduce Bongard-OpenWorld, a new benchmark for evaluating real-world few-shot reasoning for machine vision. It originates from the classical Bongard Problems (BPs): Given two sets of images (positive and negative... 详细信息
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ViGT: proposal-free video grounding with a learnable token in the transformer
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science China(Information sciences) 2023年 第10期66卷 196-212页
作者: Kun LI Dan GUO Meng WANG School of Computer Science and Information Engineering Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Intelligent Interconnected Systems Laboratory of Anhui Province Institute of Artificial Intelligence Hefei Comprehensive National Science Center
The video grounding(VG) task aims to locate the queried action or event in an untrimmed video based on rich linguistic descriptions. Existing proposal-free methods are trapped in the complex interaction between video ... 详细信息
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Progressive Self-supervised Representation Learning for 3D Facial Expression Recognition  18
Progressive Self-supervised Representation Learning for 3D F...
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18th IEEE International Joint Conference on Biometrics, IJCB 2024
作者: Li, Hebeizi Yang, Hongyu Huang, Di Beihang University School of Computer Science and Engineering Beijing China Beihang University Institute of Artificial Intelligence Beijing China Shanghai Artificial Intelligence Laboratory Shanghai China
Facial expression recognition (FER) is a critical area of research in face analysis. While 2D data has been extensively used, 3D data offers inherent advantages, such as increased resilience to illumination and pose v... 详细信息
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SMFuse: Two-Stage Structural Map Aware Network for Multi-focus Image Fusion  27th
SMFuse: Two-Stage Structural Map Aware Network for Multi-foc...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Shen, Tianyu Li, Hui Cheng, Chunyang Shen, Zhongwei Song, Xiaoning International Joint Laboratory on Artificial Intelligence of Jiangsu Province School of Artificial Intelligence and Computer Science Jiangnan University Wuxi China School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou China
Multi-focus image fusion (MFIF) explores the positioning and reorganization of the focused parts from the input images. Focused and defocused parts have similar representations in color, contour and other appearance i... 详细信息
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