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检索条件"丛书名=Lecture notes in artificial intelligence,"
57438 条 记 录,以下是91-100 订阅
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Large Language Models With Holistically Thought Could Be Better Doctors  13th
Large Language Models With Holistically Thought Could Be Bet...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Weng, Yixuan Li, Bin Xia, Fei Zhu, Minjun Sun, Bin He, Shizhu Liu, Shengping Li, Kang Li, Shutao Zhao, Jun Chinese Acad Sci IA Lab Cognit & Decis Intelligence Complex Syst Beijing Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Hunan Univ Coll Elect & Informat Engn Changsha Peoples R China Unisound Beijing Peoples R China Shanghai Artificial Intelligence Lab Shanghai Peoples R China
The medical conversational question answering (CQA) system aims at providing a series of professional medical services to improve the efficiency of medical care. Despite the success of large language models (LLMs) in ...
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ProSide: Knowledge Projector and Sideway for Pre-trained Language Models  13th
ProSide: Knowledge Projector and Sideway for Pre-trained Lan...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: He, Chaofan Lu, Gewei Shen, Liping Shanghai Jiao Tong Univ AI Inst Dept Comp Sci & Engn X LANCE LabMoE Key Lab Artificial Intelligence Shanghai Peoples R China
Research indicates that incorporating external knowledge into pre-trained language models (PLMs) can enhance their performance on knowledge-driven downstream tasks. However, most approaches either require retraining t...
来源: 评论
Enhancing Cross-Lingual Named Entity Recognition via Dual Contrastive Learning Based on MRC Framework  13th
Enhancing Cross-Lingual Named Entity Recognition via Dual Co...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Zhuo, Aiqing Shi, Kunli Gu, Jinghang Qian, Longhua Zhoul, Guodong Soochow Univ Sch Comp Sci & Technol Suzhou 215006 Jiangsu Peoples R China Hong Kong Polytech Univ Dept Chinese & Bilingual Studies Hong Kong 999077 Peoples R China
Cross-lingual Named Entity Recognition (NER) has recently become a research hotspot because it can transfer knowledge from high-resource languages to low-resource languages, thus meeting the challenge of data scarcity...
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Bread: A Hybrid Approach for Instruction Data Mining Through Balanced Retrieval and Dynamic Data Sampling  13th
Bread: A Hybrid Approach for Instruction Data Mining Through...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Zhuang, Xinlin Mao, Xin Jiang, Yuan-Hao Wu, Hongyi Zhao, Shangqing Cai, Li Liu, Shu Chen, Yang Song, Yuxiang Jia, Chenghao Zhou, Yuhao Lan, Man East China Normal Univ Sch Comp Sci & Technol Shanghai Peoples R China Nanyang Technol Univ Singapore Singapore Guizhou Univ Guiyang Peoples R China
Recent advancements in Instruction Tuning (IT) have shown promise for aligning Large Language Models (LLMs) with users' intentions, yet its efficacy is often compromised by dependence on high-quality datasets. Pre...
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Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features  13th
Understanding and Improving Low-Resource Neural Machine Tran...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Sun, Yanming Liu, Xuebo Wong, Derek F. Lin, Yuchu Li, Bei Zhan, Runzhe Chao, Lidia S. Zhang, Min Univ Macau Fac Sci & Technol Dept Comp & Informat Sci Macau Peoples R China Harbin Inst Technol Shenzhen Peoples R China DeepTranx Zhuhai Peoples R China Northeastern Univ Shenyang Peoples R China
During neural machine translation (NMT) tasks, we observe that despite the common assumption that increasing encoder depth leads to improved performance, this effect is less pronounced in low-resource scenarios and ca...
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Part-of-Speech and Confusion-Set Constrained Language Model for Vietnamese Spelling Correction Corpus Construction  13th
Part-of-Speech and Confusion-Set Constrained Language Model ...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Li, Ying Chen, Xin Liu, Xiao Dong, Ling Yu, Zhengtao Mao, Cunli Kunming Univ Sci & Technol Fac Informat Engn & Automat Kunming Yunnan Peoples R China Kunming Univ Sci & Technol Yunnan Key Lab Artificial Intelligence Kunming Yunnan Peoples R China
Supervised spelling error correction models have achieved outstanding performances on rich-source languages. However, these models are difficult to directly apply to Vietnamese spelling correction due to the corpus sc...
来源: 评论
Utilizing Speaker Models and Topic Markers for Emotion Recognition in Dialogues  26th
Utilizing Speaker Models and Topic Markers for Emotion Recog...
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26th International Conference on Speech and Computer
作者: Makhnytkina, Olesia Matveev, Yuri Zubakov, Alexander Matveev, Anton ITMO Univ St Petersburg Russia
In modern speech emotion recognition (SER), improving upon state-of-the-art systems requires increasing sophistication of extracting discriminative information from training data. The key aspects of our research inclu...
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Resolving Unseen Rumors with Retrieval-Augmented Large Language Models  13th
Resolving Unseen Rumors with Retrieval-Augmented Large Langu...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Chen, Lei Wei, Zhongyu Fudan Univ Sch Data Sci Shanghai Peoples R China Fudan Univ Res Inst Intelligent & Complex Syst Shanghai Peoples R China
Social media has become the primary source of information for individuals, yet much of this information remains unverified. The rise of generative artificial intelligence has further accelerated the creation of unveri... 详细信息
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LLM Assists Hypothesis Generation and Testing for Deliberative Questions  13th
LLM Assists Hypothesis Generation and Testing for Deliberati...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Wang, Fuchun Zhou, Xian Hu, Wenpeng Luo, Zhunchen Luo, Wei Bai, Xiaoying PLA Acad Mil Sci Informat Res Ctr Mil Sci Beijing 100080 Peoples R China
In the present era, the proliferation and widespread adoption of Large Language Models (LLMs) have substantially elevated the capacity for understanding and reasoning in various textual tasks. Yet, there is a current ...
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Chinese Grammar Correction Model Based on Semantic Enhancement and Feedback Mechanism  13th
Chinese Grammar Correction Model Based on Semantic Enhanceme...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Zhang, Zhujian Zhao, Peiyu Liu, Bo Jinan Univ Coll Informat Sci & Technol Guangzhou 510632 Peoples R China
The Chinese grammar detection and correction system can automatically identify error positions and correct erroneous characters. Currently, there are still challenges in the research, such as the limited size of publi...
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