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MIRE: A medical information enhanced framework for long-tail medical dialogue synthesis 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2026, 卷号: 305, 页码: 15
作者:  Lv, Bo;  Tang, Chen;  Liu, Nayu;  Yu, Guoxin;  Liu, Xin;  Zhang, Riyan;  Yu, Yue
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
Long-tail medical dialogue synthetic  Large language models (LLMs)  Synthetic data generation  External medical knowledge  Style transfer  
LLM-led vision-spectral fusion: A zero-shot approach to temporal fruit image classification 期刊论文
NEURAL NETWORKS, 2026, 卷号: 194, 页码: 10
作者:  Wu, Huyu;  Jia, Bowen;  Yuan, Xue-Ming
收藏  |  浏览/下载：24/0  |  提交时间：2025/12/03
Temporally relevant images  Multimodal classification  Large language models  Zero-shot segmentation  Vision-spectral fusion  
A hybrid approach to formulaic alpha discovery with large language model assistance 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2026, 卷号: 20, 期号: 2, 页码: 14
作者:  Yu, Shuo;  Xue, Hong-Yan;  Ao, Xiang;  He, Qing
收藏  |  浏览/下载：73/0  |  提交时间：2025/12/03
computational finance  stock trend forecasting  large language model  
Sycophancy in vision-language models: A systematic analysis and an inference-time mitigation framework 期刊论文
NEUROCOMPUTING, 2026, 卷号: 659, 页码: 14
作者:  Zhao, Yunpu;  Zhang, Rui;  Xiao, Junbin;  Ke, Changxin;  Hou, Ruibo;  Hao, Yifan;  Li, Ling
收藏  |  浏览/下载：25/0  |  提交时间：2025/12/03
Vision-language models  Contrastive decoding  Model hallucinations  
CACRE: A Weakly Supervised Method for Cross-Attention Contrastive Relation Extraction With Large Language Models 期刊论文
IEEE ACCESS, 2026, 卷号: 14, 页码: 18718-18729
作者:  Hu, Zhikui;  Zi, Kangli;  Luo, Tianyu;  Huang, Yuwei;  Wang, Shi
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
Semantics  Contrastive learning  Feature extraction  Weak supervision  Vectors  Training  Large language models  Data mining  Tensors  Reliability  Relation extraction  weak supervision  contrastive learning  LLMs  
DEFT: Data-Efficient Fine-Tuning Through Multi-Dimensional Data Selection 期刊论文
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2026, 卷号: 34, 页码: 352-363
作者:  Dai, Shaojie;  Liu, Xin;  Yu, Yue
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
Data models  Complexity theory  Training data  Training  Speech processing  Semantics  Adaptation models  Tuning  Measurement  Large language models  Data-efficient fine-tuning  large language models (LLMs)  instruction fine-tuning  data selection  
Dadu-E: Rethinking the Role of Large Language Model in Robotic Computing Pipelines 期刊论文
JOURNAL OF FIELD ROBOTICS, 2025, 页码: 24
作者:  Sun, Wenhao;  Hou, Sai;  Wang, Zixuan;  Yu, Bo;  Liu, Shaoshan;  Yang, Xu;  Liang, Shuai;  Gan, Yiming;  Han, Yinhe
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
closed-loop planning  large language models  memory augmentation  robotic planning  
Enhanced Dual-Pattern Matching With Vision-Language Representation for Out-of-Distribution Detection 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2025, 卷号: 47, 期号: 11, 页码: 9673-9687
作者:  Xiang, Xiang;  Xu, Zhuo;  Zhang, Zihan;  Zeng, Zhigang;  Chen, Xilin
收藏  |  浏览/下载：27/0  |  提交时间：2025/12/03
Visualization  Adaptation models  Training  Data models  Computational modeling  Feature extraction  Pattern matching  Tuning  Robustness  Data mining  OOD detection  vision-language models  
A data-centric chip design agent framework for Verilog code generation 期刊论文
ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2025, 卷号: 30, 期号: 6, 页码: 27
作者:  Chang, Kaiyan;  Zhu, Wenlong;  Wang, Kun;  He, Xinyang;  Yang, Nan;  Chen, Zhirong;  Jin, Dantong;  Li, Cangyuan;  Zhou, Yunhao;  Yan, Hao;  Zhao, Zhuoliang;  Cheng, Yuan;  Wang, Mengdi;  Liang, Shengwen;  Han, Yinhe;  Li, Xiaowei;  Li, Huawei;  Wang, Ying
收藏  |  浏览/下载：2/0  |  提交时间：2026/05/25
Large language model  hardware generation  data augmentation  
Improving multimodal named entity recognition via text-image relevance prediction with large language models 期刊论文
NEUROCOMPUTING, 2025, 卷号: 651, 页码: 10
作者:  Zeng, Qingyang;  Yuan, Minghui;  Su, Yueyang;  Mi, Jia;  Che, Qianzi;  Wan, Jing
收藏  |  浏览/下载：22/0  |  提交时间：2025/12/03
Multimodal named entity recognition  Multimodal learning  Large language model  Contrastive learning  Social media