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检索条件"机构=Computer Architecture and Languages Laboratory Institute of Computer Science"
738 条 记 录,以下是121-130 订阅
排序:
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
RoTBench: A Multi-Level Benchmark for Evaluating the Robustn...
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Ye, Junjie Wu, Yilong Gao, Songyang Huang, Caishuang Li, Sixian Li, Guanyu Fan, Xiaoran Zhang, Qi Gui, Tao Huang, Xuanjing School of Computer Science Fudan University China Institute of Modern Languages and Linguistics Fudan University China Shanghai Key Laboratory of Intelligent Information Processing Fudan University China
Tool learning has generated widespread interest as a vital means of interaction between Large Language Models (LLMs) and the physical world. Current research predominantly emphasizes LLMs' capacity to utilize tool... 详细信息
来源: 评论
PDF-to-Tree: Parsing PDF Text Blocks into a Tree
PDF-to-Tree: Parsing PDF Text Blocks into a Tree
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Zhang, Yue Zhang, Zhihao Lai, Wenbin Zhang, Chong Gui, Tao Zhang, Qi Huang, Xuanjing School of Computer Science Fudan University China Institute of Modern Languages and Linguistics Fudan University China Shanghai Key Laboratory of Intelligent Information Processing Fudan University China
In many PDF documents, the reading order of text blocks is missing, which can hinder machine understanding of the document's content. Existing works try to extract one universal reading order for a PDF file. Howev... 详细信息
来源: 评论
A design- for-diagnosis technique for diagnosing both scan chain faults and combinational circuit faults
A design- for-diagnosis technique for diagnosing both scan c...
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2008 Asia and South Pacific Design Automation Conference, ASP-DAC
作者: Wang, Fei Hu, Yu Li, Huawei Li, Xiaowei Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Science Beijing China Graduate University Chinese Academy of Sciences Beijing China
The amount of die area consumed by scan chains and scan control circuit can range from 15%∼30%, and scan chain failures account for almost 50% of chip failures. As the conventional diagnosis process usually runs on t... 详细信息
来源: 评论
A trimaran based framework for exploring the design space of VLIW ASIPs with coarse grain functional units
A trimaran based framework for exploring the design space of...
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15th International Symposium on System Synthesis
作者: Middha, Bhuvan Raj, Varun Gangwar, Anup Kumar, Anshul Balakrishnan, M. Ienne, Paolo Department of Computer Science Indian Institute of Technology Delhi India Processor Architecture Laboratory Swiss Fed. Inst. Technol. Laussane Switzerland
It is widely accepted that use of an Application Specific Instruction Set Processor (ASIP) in an embedded system can provide a solution which is much more flexible than ASICs and much more efficient than standard proc... 详细信息
来源: 评论
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning
Improving Discriminative Capability of Reward Models in RLHF...
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Chen, Lu Zheng, Rui Wang, Binghai Jin, Senjie Huang, Caishuang Ye, Junjie Zhang, Zhihao Zhou, Yuhao Xi, Zhiheng Gui, Tao Zhang, Qi Huang, Xuanjing School of Computer Science Fudan University China Institute of Modern Languages and Linguistics Fudan University China Key Laboratory of Intelligent Information Processing Fudan University Shanghai China
Reinforcement Learning from Human Feedback (RLHF) is a crucial approach to aligning language models with human values and intentions. A fundamental challenge in this method lies in ensuring that the reward model accur... 详细信息
来源: 评论
LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration
LONGAGENT: Achieving Question Answering for 128k-Token-Long ...
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Zhao, Jun Zu, Can Xu, Hao Lu, Yi He, Wei Ding, Yiwen Gui, Tao Zhang, Qi Huang, Xuanjing School of Computer Science Fudan University China Shanghai Key Laboratory of Intelligent Information Processing Fudan University China Institute of Modern Languages and Linguistics Fudan University China
Large language models (LLMs) have achieved tremendous success in understanding language and processing text. However, question-answering (QA) on lengthy documents faces challenges of resource constraints and a high pr... 详细信息
来源: 评论
LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases  29
LFKQG: A Controlled Generation Framework with Local Fine-tun...
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29th International Conference on Computational Linguistics, COLING 2022
作者: Fei, Zichu Zhou, Xin Gui, Tao Zhang, Qi Huang, Xuanjing School of Computer Science Fudan Unviersity China Shanghai Key Laboratory of Intelligent Information Processing Shanghai China Institute of Modern Languages and Linguistics Fudan University Shanghai China
Question generation over knowledge bases (KBQG) aims to generate natural questions about a subgraph that can be answered by a given answer entity. Existing KBQG models still face two main challenges: (1) Most models o...
来源: 评论
HCMonitor: An accurate measurement system for high concurrent network services
HCMonitor: An accurate measurement system for high concurren...
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作者: Song, Hui Zhang, Wenli Liu, Ke Shen, Yifan Chen, Mingyu State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Frontier Research Center Peng Cheng Laboratory Shenzhen China
This article aims to enhance the monitoring accuracy of high concurrent network services. As modern network services grow rapidly in data centers, tail latency has become one of the most crucial deciding factors on us... 详细信息
来源: 评论
A Power and Area Optimization Approach of Mixed Polarity Reed-Muller Expression for Incompletely Specified Boolean Functions
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Journal of computer science & Technology 2017年 第2期32卷 297-311页
作者: Zhen-Xue He Li-Min Xiao Li Ruan Fei Gu Zhi-Sheng Huo Guang-Jun Qin Ming-Fa Zhu F Long-Bing Zhang Rui Liu Xiang Wang State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China School of Computer Science and Engineering Beihang University Beijing 100191 China School of Electronic and Information Engineering Beihang University Beijing 100191 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China National Engineering Research Center for Science and Technology Resources Sharing Service Beihang University Beijing 100191 China
The power and area optimization of Reed-Muller (RM) circuits has been widely concerned. However, almost none of the exiting power and area optimization approaches can obtain all the Pareto optimal solutions of the o... 详细信息
来源: 评论
Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER  29
Read Extensively, Focus Smartly: A Cross-document Semantic E...
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29th International Conference on Computational Linguistics, COLING 2022
作者: Zhao, Jun Zhao, Xin Zhan, Wenyu Gui, Tao Zhang, Qi Qiao, Liang Cheng, Zhanzhan Pu, Shiliang School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai China Institute of Modern Languages and Linguistics Fudan University China Hikvision Research Institute Shanghai China
The introduction of multimodal information and pretraining technique significantly improves entity recognition from visually-rich documents. However, most of the existing methods pay unnecessary attention to irrelevan... 详细信息
来源: 评论