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CASIA OpenIR

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A Comprehensive Overview of CFN From a Commonsense Perspective 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 239-256
作者:  Ru Li;  Yunxiao Zhao;  Zhiqiang Wang;  Xuefeng Su;  Shaoru Guo;  Yong Guan;  Xiaoqi Han;  Hongyan Zhao
Adobe PDF(2392Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Chinese FrameNet (CFN), commonsense, scenario commonsense, frame, knowledge  
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 605-613
作者:  Haotong Qin;   Ge-Peng Ji;  Salman Khan;  Deng-Ping Fan;  Fahad Shahbaz Khan;  Luc Van Gool
Adobe PDF(10373Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/23
Google Bard, multi-modal understanding, visual comprehension, large language models, conversational AI, chatbot  
Transformer: A General Framework from Machine Translation to Others 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 514-538
作者:  Yang Zhao;  Jiajun Zhang;  Chengqing Zong
Adobe PDF(1415Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23
Neural machine translation, Transformer, document neural machine translation (NMT), multimodal NMT, low-resource NMT  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/23
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 447-482
作者:  Xiao Wang;  Guangyao Chen;  Guangwu Qian;  Pengcheng Gao;  Xiao-Yong Wei;  Yaowei Wang;  Yonghong Tian;  Wen Gao
Adobe PDF(3540Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/23
Multi-modal (MM), pre-trained model (PTM), information fusion, representation learning, deep learning  
A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 318-334
作者:  Wai-Chung Kwan;  Hong-Ru Wang;  Hui-Min Wang;  Kam-Fai Wong
Adobe PDF(2211Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Dialogue policy learning (DPL), task-oriented dialogue system (TOD), reinforcement learning (RL), dialogue system, Markov decision process  
Offline Pre-trained Multi-agent Decision Transformer 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 233-248
作者:  Linghui Meng;  Muning Wen;  Chenyang Le;  Xiyun Li;  Dengpeng Xing;  Weinan Zhang;  Ying Wen;  Haifeng Zhang;  Jun Wang;  Yaodong Yang;  Bo Xu
Adobe PDF(2121Kb)  |  收藏  |  浏览/下载：5/1  |  提交时间：2024/04/23
Pre-training model  multi-agent reinforcement learning (MARL)  decision making  transformer  offline reinforcement learning  
EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 207-219
作者:  Yuxian Gu;  Jiaxin Wen;  Hao Sun;  Yi Song;  Pei Ke;  Chujie Zheng;  Zheng Zhang;  Jianzhu Yao;  Lei Liu;  Xiaoyan Zhu;  Minlie Huang
Adobe PDF(1846Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/04/23
Natural language processing  deep learning (DL)  large-scale pre-training  dialogue systems  Chinese open-domain conversational model  
Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 180-193
作者:  Zhengyan Zhang;  Guangxuan Xiao;  Yongwei Li;  Tian Lv;  Fanchao Qi;  Zhiyuan Liu;  Yasheng Wang;  Xin Jiang;  Maosong Sun
Adobe PDF(1649Kb)  |  收藏  |  浏览/下载：3/1  |  提交时间：2024/04/23
Pre-trained language models  backdoor attacks  transformers  natural language processing (NLP)  computer vision (CV)  
Visual Superordinate Abstraction for Robust Concept Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 79-91
作者:  Qi Zheng;  Chao-Yue Wang;  Dadong Wang;  a-Cheng Tao
Adobe PDF(2703Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/23
Concept learning  visual question answering  weakly-supervised learning  multi-modal learning  curriculum learning