咨询与建议

限定检索结果

文献类型

  • 14,413 篇 会议
  • 650 篇 期刊文献
  • 101 册 图书
  • 40 篇 学位论文
  • 1 篇 科技报告

馆藏范围

  • 15,204 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 10,937 篇 工学
    • 10,278 篇 计算机科学与技术...
    • 5,404 篇 软件工程
    • 1,460 篇 信息与通信工程
    • 953 篇 电气工程
    • 875 篇 控制科学与工程
    • 446 篇 生物工程
    • 221 篇 网络空间安全
    • 220 篇 化学工程与技术
    • 186 篇 机械工程
    • 174 篇 生物医学工程(可授...
    • 141 篇 电子科学与技术(可...
    • 100 篇 仪器科学与技术
    • 100 篇 安全科学与工程
  • 2,473 篇 理学
    • 1,150 篇 数学
    • 649 篇 物理学
    • 518 篇 生物学
    • 391 篇 统计学(可授理学、...
    • 241 篇 系统科学
    • 232 篇 化学
  • 2,413 篇 管理学
    • 1,747 篇 图书情报与档案管...
    • 754 篇 管理科学与工程(可...
    • 239 篇 工商管理
    • 104 篇 公共管理
  • 1,761 篇 文学
    • 1,709 篇 外国语言文学
    • 184 篇 中国语言文学
  • 510 篇 医学
    • 299 篇 临床医学
    • 282 篇 基础医学(可授医学...
    • 112 篇 公共卫生与预防医...
  • 277 篇 法学
    • 249 篇 社会学
  • 237 篇 教育学
    • 224 篇 教育学
  • 100 篇 农学
  • 97 篇 经济学
  • 9 篇 艺术学
  • 7 篇 哲学
  • 4 篇 军事学

主题

  • 3,523 篇 natural language...
  • 1,768 篇 natural language...
  • 952 篇 computational li...
  • 736 篇 semantics
  • 680 篇 machine learning
  • 606 篇 deep learning
  • 520 篇 natural language...
  • 345 篇 computational mo...
  • 334 篇 training
  • 331 篇 sentiment analys...
  • 330 篇 accuracy
  • 325 篇 large language m...
  • 320 篇 feature extracti...
  • 311 篇 data mining
  • 290 篇 speech processin...
  • 263 篇 speech recogniti...
  • 250 篇 transformers
  • 235 篇 neural networks
  • 217 篇 iterative method...
  • 211 篇 support vector m...

机构

  • 85 篇 carnegie mellon ...
  • 51 篇 university of ch...
  • 45 篇 carnegie mellon ...
  • 44 篇 tsinghua univers...
  • 42 篇 zhejiang univers...
  • 42 篇 national univers...
  • 38 篇 nanyang technolo...
  • 36 篇 university of wa...
  • 35 篇 univ chinese aca...
  • 34 篇 university of sc...
  • 34 篇 carnegie mellon ...
  • 33 篇 stanford univers...
  • 32 篇 gaoling school o...
  • 32 篇 school of artifi...
  • 32 篇 alibaba grp peop...
  • 29 篇 tsinghua univ de...
  • 28 篇 harbin institute...
  • 28 篇 peking universit...
  • 27 篇 language technol...
  • 26 篇 microsoft resear...

作者

  • 55 篇 zhou guodong
  • 50 篇 neubig graham
  • 46 篇 liu yang
  • 39 篇 sun maosong
  • 36 篇 zhang min
  • 34 篇 liu qun
  • 33 篇 smith noah a.
  • 28 篇 schütze hinrich
  • 27 篇 liu zhiyuan
  • 27 篇 lapata mirella
  • 26 篇 wen ji-rong
  • 24 篇 chang kai-wei
  • 23 篇 zhou jie
  • 23 篇 yang diyi
  • 23 篇 zhao hai
  • 23 篇 zhao wayne xin
  • 21 篇 chua tat-seng
  • 20 篇 dredze mark
  • 18 篇 biemann chris
  • 18 篇 fung pascale

语言

  • 14,611 篇 英文
  • 481 篇 其他
  • 104 篇 中文
  • 18 篇 法文
  • 15 篇 土耳其文
  • 2 篇 西班牙文
  • 2 篇 俄文
检索条件"任意字段=Conference on empirical methods in natural language processing"
15205 条 记 录,以下是221-230 订阅
排序:
Query2doc: Query Expansion with Large language Models
Query2doc: Query Expansion with Large Language Models
收藏 引用
conference on empirical methods in natural language processing (EMNLP)
作者: Wang, Liang Yang, Nan Wei, Furu Microsoft Res Beijing Peoples R China
This paper introduces a simple yet effective query expansion approach, denoted as query2doc, to improve both sparse and dense retrieval systems. The proposed method first generates pseudo-documents by few-shot prompti... 详细信息
来源: 评论
Who's Who: Large language Models Meet Knowledge Conflicts in Practice
Who's Who: Large Language Models Meet Knowledge Conflicts in...
收藏 引用
2024 conference on empirical methods in natural language processing, EMNLP 2024
作者: Pham, Quang Hieu Ngo, Hoang Luu, Anh Tuan Nguyen, Dat Quoc VinAI Research Viet Nam Nanyang Technological University Singapore
Retrieval-augmented generation (RAG) methods are viable solutions for addressing the static memory limits of pre-trained language ***, encountering conflicting sources of information within the retrieval context is an... 详细信息
来源: 评论
Multilingual Large language Models Are Not (Yet) Code-Switchers
Multilingual Large Language Models Are Not (Yet) Code-Switch...
收藏 引用
conference on empirical methods in natural language processing (EMNLP)
作者: Zhang, Ruochen Cahyawijaya, Samuel Cruz, Jan Christian Blaise Winata, Genta Indra Aji, Alham Fikri Brown Univ Providence RI 02912 USA HKUST Hong Kong Peoples R China Samsung R&D Inst Philippines Taguig Philippines Bloomberg New York NY USA MBZUAI Abu Dhabi U Arab Emirates
Multilingual Large language Models (LLMs) have recently shown great capabilities in a wide range of tasks, exhibiting state-of-the-art performance through zero-shot or few-shot prompting methods. While there have been... 详细信息
来源: 评论
Reference-free Hallucination Detection for Large Vision-language Models
Reference-free Hallucination Detection for Large Vision-Lang...
收藏 引用
2024 conference on empirical methods in natural language processing, EMNLP 2024
作者: Li, Qing Geng, Jiahui Lyu, Chenyang Zhu, Derui Panov, Maxim Karray, Fakhri Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates Technical University of Munich Germany
Large vision-language models (LVLMs) have made significant progress in recent years. While LVLMs exhibit excellent ability in language understanding, question answering, and conversations of visual inputs, they are pr... 详细信息
来源: 评论
natural language Decompositions of Implicit Content Enable Better Text Representations
Natural Language Decompositions of Implicit Content Enable B...
收藏 引用
conference on empirical methods in natural language processing (EMNLP)
作者: Hoyle, Alexander Sarkar, Rupak Goel, Pranav Resnik, Philip Univ Maryland Comp Sci College Pk MD 20742 USA Univ Maryland UMIACS Linguist College Pk MD 20742 USA
When people interpret text, they rely on inferences that go beyond the observed language itself. Inspired by this observation, we introduce a method for the analysis of text that takes implicitly communicated content ... 详细信息
来源: 评论
methods for Automatic Matrix language Determination of Code-Switched Speech
Methods for Automatic Matrix Language Determination of Code-...
收藏 引用
2024 conference on empirical methods in natural language processing, EMNLP 2024
作者: Iakovenko, Olga Hain, Thomas The University of Sheffield United Kingdom
Code-switching (CS) is the process of speakers interchanging between two or more languages which in the modern world becomes increasingly common. In order to better describe CS speech the Matrix language Frame (MLF) t... 详细信息
来源: 评论
Exploring Intrinsic language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation
Exploring Intrinsic Language-specific Subspaces in Fine-tuni...
收藏 引用
2024 conference on empirical methods in natural language processing, EMNLP 2024
作者: Cao, Zhe Qu, Zhi Kamigaito, Hidetaka Watanabe, Taro Nara Institute of Science and Technology Japan
Multilingual neural machine translation models support fine-tuning hundreds of languages simultaneously. However, fine-tuning on full parameters solely is inefficient potentially leading to negative interactions among... 详细信息
来源: 评论
Can CLIP Count Stars? An empirical Study on Quantity Bias in CLIP
Can CLIP Count Stars? An Empirical Study on Quantity Bias in...
收藏 引用
2024 conference on empirical methods in natural language processing, EMNLP 2024
作者: Zhang, Zeliang Liu, Zhuo Feng, Mingqian Xu, Chenliang Department of Computer Science University of Rochester United States
CLIP has demonstrated great versatility in adapting to various downstream tasks, such as image editing and generation, visual question answering, and video understanding. However, CLIP-based applications often suffer ... 详细信息
来源: 评论
Information Parity: Measuring and Predicting the Multilingual Capabilities of language Models
Information Parity: Measuring and Predicting the Multilingua...
收藏 引用
2024 conference on empirical methods in natural language processing, EMNLP 2024
作者: Tsvetkov, Alexander Kipnis, Alon Department of Computer Science Reichman University Herzlia Israel
Large language Models (LLMs) are increasingly deployed in user-facing applications worldwide, necessitating handling multiple languages across various *** propose a metric called Information Parity (IP) that can predi... 详细信息
来源: 评论
A Psycholinguistic Evaluation of language Models' Sensitivity to Argument Roles
A Psycholinguistic Evaluation of Language Models' Sensitivit...
收藏 引用
2024 conference on empirical methods in natural language processing, EMNLP 2024
作者: Lee, Eun-Kyoung Rosa Nair, Sathvik Feldman, Naomi H. Department of Linguistics University of Maryland College Park United States Institute for Advanced Computer Studies University of Maryland College Park United States
We present a systematic evaluation of large language models' sensitivity to argument roles, i.e., who did what to whom, by replicating psycholinguistic studies on human argument role processing. In three experimen... 详细信息
来源: 评论