Zobrazeno 1 - 10
of 51 224
pro vyhledávání: '"An, Lifeng"'
Autor:
Wu, Yuwei, Tao, Yuezhan, Li, Peihan, Shi, Guangyao, Sukhatmem, Gaurav S., Kumar, Vijay, Zhou, Lifeng
In this paper, we propose a hierarchical Large Language Models (LLMs) in-the-loop optimization framework for real-time multi-robot task allocation and target tracking in an unknown hazardous environment subject to sensing and communication attacks. W
Externí odkaz:
http://arxiv.org/abs/2409.12274
Multi-robot collaboration for target tracking presents significant challenges in hazardous environments, including addressing robot failures, dynamic priority changes, and other unpredictable factors. Moreover, these challenges are increased in adver
Externí odkaz:
http://arxiv.org/abs/2409.11230
In this paper, we present a system that generates synthetic free-text medical records, such as discharge summaries, admission notes and doctor correspondences, using Masked Language Modeling (MLM). Our system is designed to preserve the critical info
Externí odkaz:
http://arxiv.org/abs/2409.09831
Since clinical letters contain sensitive information, clinical-related datasets can not be widely applied in model training, medical research, and teaching. This work aims to generate reliable, various, and de-identified synthetic clinical letters. T
Externí odkaz:
http://arxiv.org/abs/2409.09501
This letter investigates a movable antenna (MA)-aided full-duplex (FD) satellite communication system, where the satellite, equipped with both transmit and receive MAs, serves multiple uplink (UL) and downlink (DL) user terminals (UTs) in FD mode. Sp
Externí odkaz:
http://arxiv.org/abs/2409.06502
Autor:
Liu, Weiwen, Huang, Xu, Zeng, Xingshan, Hao, Xinlong, Yu, Shuai, Li, Dexun, Wang, Shuai, Gan, Weinan, Liu, Zhengying, Yu, Yuanqing, Wang, Zezhong, Wang, Yuxian, Ning, Wu, Hou, Yutai, Wang, Bin, Wu, Chuhan, Wang, Xinzhi, Liu, Yong, Wang, Yasheng, Tang, Duyu, Tu, Dandan, Shang, Lifeng, Jiang, Xin, Tang, Ruiming, Lian, Defu, Liu, Qun, Chen, Enhong
Function calling significantly extends the application boundary of large language models, where high-quality and diverse training data is critical for unlocking this capability. However, real function-calling data is quite challenging to collect and
Externí odkaz:
http://arxiv.org/abs/2409.00920
This paper presents a secure wire-line telephone system that employs physical layer security (PLS) to protect against wiretapping. The system generates artificial noise (AN) in both transmission directions and uses a telephone hybrid circuit to effec
Externí odkaz:
http://arxiv.org/abs/2408.13435
Clinical diagnosis is critical in medical practice, typically requiring a continuous and evolving process that includes primary diagnosis, differential diagnosis, and final diagnosis. However, most existing clinical diagnostic tasks are single-step p
Externí odkaz:
http://arxiv.org/abs/2408.10039
The success of speech-image retrieval relies on establishing an effective alignment between speech and image. Existing methods often model cross-modal interaction through simple cosine similarity of the global feature of each modality, which fall sho
Externí odkaz:
http://arxiv.org/abs/2408.13705
Autor:
Zhou, Lifeng, Li, Yuke
In this paper, we propose a novel framework for speech-image retrieval. We utilize speech-image contrastive (SIC) learning tasks to align speech and image representations at a coarse level and speech-image matching (SIM) learning tasks to further ref
Externí odkaz:
http://arxiv.org/abs/2408.13119