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检索条件"机构=Shanghai Key Lab of Intelligent Information Processing and School of Computer Science"
1766 条 记 录,以下是71-80 订阅
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DeepPointMap2: Accurate and Robust LiDAR-Visual SLAM with Neural Descriptors  24
DeepPointMap2: Accurate and Robust LiDAR-Visual SLAM with Ne...
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32nd ACM International Conference on Multimedia, MM 2024
作者: Zhang, Xiaze Ding, Ziheng Jing, Qi Cheng, Ying Ding, Wenchao Feng, Rui Fudan University Shanghai China The School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Fudan University China The Academy for Engineering and Technology Fudan University China The Shanghai Collaborative Innovation Center of Intelligent Visual Computing China
Simultaneous Localization and Mapping (SLAM) plays a pivotal role in autonomous driving and robotics. Existing methods often rely on hand-craft feature extraction and cross-modal fusion techniques, resulting in limite... 详细信息
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Robust Video Object Segmentation with Restricted Attention  48
Robust Video Object Segmentation with Restricted Attention
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48th IEEE International Conference on Acoustics, Speech and Signal processing, ICASSP 2023
作者: Zhang, Huaizheng Guo, Pinxue Le, Zhongwen Zhang, Wenqiang Shanghai Key Laboratory of Intelligent Information Processing China Fudan University School of Computer Science Shanghai China Fudan University Academy for Engineering and Technology Shanghai China
This paper focuses on the two problems of the similar objects distraction and the lack of robustness for unseen object categories in semi-supervised video object segmentation task. Existing methods have achieved great... 详细信息
来源: 评论
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
TransferTOD: A Generalizable Chinese Multi-Domain Task-Orien...
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2024 Conference on Empirical Methods in Natural Language processing, EMNLP 2024
作者: Zhang, Ming Huang, Caishuang Wu, Yilong Liu, Shichun Zheng, Huiyuan Dong, Yurui Shen, Yujiong Dou, Shihan Zhao, Jun Ye, Junjie Zhang, Qi Gui, Tao 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
Task-oriented dialogue (TOD) systems aim to efficiently handle task-oriented conversations, including information collection. How to utilize TOD accurately, efficiently and effectively for information collection has a... 详细信息
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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
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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
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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
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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
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Tokenizing Features for Fast Video Object Segmentation
Tokenizing Features for Fast Video Object Segmentation
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2022 IEEE International Conference on Multimedia and Expo, ICME 2022
作者: Meng, Tianfang Zhang, Wei Zhang, Wenqiang Fudan University Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Shanghai China
This paper investigates how to take full advantage of the tem-poral and spatial information in videos with minimal compu-tational cost in the semi-supervised video object segmentation (VOS) task. Current state-of-the-... 详细信息
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ChatGPT: potential, prospects, and limitations
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Frontiers of information Technology & Electronic Engineering 2024年 第1期25卷 6-11页
作者: Jie ZHOU Pei KE Xipeng QIU Minlie HUANG Junping ZHANG School of Computer Science Fudan UniversityShanghai 200433China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China Shanghai Key Laboratory of Intelligent Information Processing Shanghai 200433China
Recently,OpenAI released Chat Generative Pre-trained Transformer(ChatGPT)(Schulman et al.,2022)(https://***),which has attracted considerable attention from the industry and academia because of its impressive *** is t... 详细信息
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Promoting Students' Programming Skills in Constructions for Teaching Materials and Curriculums: Experiments for Comprehensive Application of Programming Methods
Promoting Students' Programming Skills in Constructions for ...
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2022 Global Conference on Robotics, Artificial Intelligence and information Technology, GCRAIT 2022
作者: Wu, Yonghui School of Computer Science Fudan University Shanghai Key Laboratory of Intelligent Information Processing Shanghai China
The goal for experiments for programming languages is to polish students' programming skills solving problems by programming languages. Programming contests are contests solving problems by programming. A programm... 详细信息
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