机构

• 自动化研究所 [9]
• 高能物理研究所 [8]
• 计算技术研究所 [4]
• 合肥物质科学研究院 [3]
• 地理科学与资源研究所 [2]
• 地质与地球物理研究所 [2]
• 更多

采集方式

• OAI收割 [37]
• iSwitch采集 [2]

内容类型

• 期刊论文 [38]
• 学位论文 [1]

发表日期

• 2025 [2]
• 2024 [9]
• 2023 [5]
• 2022 [1]
• 2020 [1]
• 2019 [1]
• 更多

学科主题

• Physics [5]
• Astronomy ... [1]
• Astronomy ... [1]

筛选

浏览/检索结果: 共39条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序作者升序作者降序题名升序题名降序发表日期升序发表日期降序 Extracting individual trajectories from text by fusing large language models with diverse knowledge 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2025, 卷号: 141, 页码: 104654 作者:  Liu, Le;  Pei, Tao;  Fang, Zidong;  Yan, Xiaorui;  Zheng, Chenglong   |  收藏  |  浏览/下载：10/0  |  提交时间：2025/07/18 Large language model  Human mobility trajectory  Geographical information retrieval  Prompt learning  GeoAI   An LLM-Based Method for Quality Information Extraction From Web Text for Crowed-Sensing Spatiotemporal Data 期刊论文  OAI收割 TRANSACTIONS IN GIS, 2025, 卷号: 29, 期号: 1, 页码: e13294 作者:  Huang, Zongcai;  Peng, Peng;  Lu, Feng;  Zhang, He   |  收藏  |  浏览/下载：110/0  |  提交时间：2025/02/24 crowd-sensing  large language model  prompt fine-tuning technique  quality indicators  spatiotemporal data   Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images 期刊论文  OAI收割 MEDICAL IMAGE ANALYSIS, 2024, 卷号: 97, 页码: 13 作者:  Zu, Wenqiang;  Xie, Shenghao;  Zhao, Qing;  Li, Guoqi;  Ma, Lei   |  收藏  |  浏览/下载：28/0  |  提交时间：2024/09/09 Foundation model  Parameter-efficient fine-tuning  Visual prompt tuning  Few-shot medical image analysis   Test-time Forgery Detection with Spatial-Frequency Prompt Learning 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2024, 页码: 16 作者:  Duan, Junxian;  Ai, Yuang;  Liu, Jipeng;  Huang, Shenyuan;  Huang, Huaibo   |  收藏  |  浏览/下载：29/0  |  提交时间：2024/09/09 Face forgery detection  Spatial-frequency prompt learning  Test-time training  Generalization  Diffusion model   A prompt-based approach to adversarial example generation and robustness enhancement 期刊论文  OAI收割 FRONTIERS OF COMPUTER SCIENCE, 2024, 卷号: 18, 期号: 4, 页码: 12 作者:  Yang, Yuting;  Huang, Pei;  Cao, Juan;  Li, Jintao;  Lin, Yun   |  收藏  |  浏览/下载：48/0  |  提交时间：2024/05/20 robustness  adversarial example  prompt learning  pre-trained language model   NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework 期刊论文  OAI收割 ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2024, 卷号: 42, 期号: 2, 页码: 32 作者:  Xu, Shicheng;  Pang, Liang;  Shen, Huawei;  Cheng, Xueqi   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/05/20 Neural information retrieval  dense retrieval  reranking  prompt learning   Cross Modal Compression With Variable Rate Prompt 期刊论文  OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 3444-3456 作者:  Gao, Junlong;  Li, Jiguo;  Jia, Chuanmin;  Wang, Shanshe;  Ma, Siwei   |  收藏  |  浏览/下载：20/0  |  提交时间：2024/05/20 Cross modal compression  semantic fidelity  variable rate prompt   A2Pt : Anti-Associative Prompt Tuning for Open Set Visual Recognition 期刊论文  OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 8419-8431 作者:  Ren, Hairui;  Tang, Fan;  Pan, Xingjia;  Cao, Juan;  Dong, Weiming   |  收藏  |  浏览/下载：27/0  |  提交时间：2024/09/09 Tuning  Neck  Task analysis  Image recognition  Calibration  Visualization  Training  Multi-modality Pre-trained models (PTMs)  open set recognition (OSR)  class-aware representation  anti-associative prompt tuning (A(2)Pt)   Prompting Large Language Models for Automatic Question Tagging 期刊论文  OAI收割 Machine Intelligence Research, 2024, 页码: 0 作者:     |  收藏  |  浏览/下载：23/0  |  提交时间：2024/06/04 Community Question Answering  Machine Learning  Large Language Model  Prompt Learning  Question Tagging   A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 153-168 作者:  Zefa Hu;  Ziyi Ni;  Jing Shi;  Shuang Xu;  Bo Xu   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/04/23 Medical dialogue understanding, information extraction, text generation, knowledge-enhanced prompt, low-resource setting, data augmentation