Zobrazeno 1 - 10
of 6 588
pro vyhledávání: '"Li., Jianfeng"'
Publikováno v:
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pages 1014 - 1022
Paraphrase generation is a longstanding NLP task and achieves great success with the aid of large corpora. However, transferring a paraphrasing model to another domain encounters the problem of domain shifting especially when the data is sparse. At t
Externí odkaz:
http://arxiv.org/abs/2412.17111
One-shot methods have significantly advanced the field of neural architecture search (NAS) by adopting weight-sharing strategy to reduce search costs. However, the accuracy of performance estimation can be compromised by co-adaptation. Few-shot metho
Externí odkaz:
http://arxiv.org/abs/2412.10723
While passive acoustic mapping (PAM) has been advanced for monitoring acoustic cavitation activity in focused ultrasound (FUS) therapy, achieving both real-time and high-quality imaging capabilities is still challenging. The angular spectrum (AS) met
Externí odkaz:
http://arxiv.org/abs/2412.02413
Passive acoustic mapping (PAM) is a promising tool for monitoring acoustic cavitation activities in the applications of ultrasound therapy. Data-adaptive beamformers for PAM have better image quality compared to the time exposure acoustics (TEA) algo
Externí odkaz:
http://arxiv.org/abs/2412.02327
The advent of Large Language Models (LLMs) has created new opportunities for the automation of scientific research, spanning both experimental processes and computational simulations. This study explores the feasibility of constructing an autonomous
Externí odkaz:
http://arxiv.org/abs/2408.15512
Autor:
Li, Zhigen, Peng, Jianxiang, Wang, Yanmeng, Cao, Yong, Shen, Tianhao, Zhang, Minghui, Su, Linxi, Wu, Shang, Wu, Yihang, Wang, Yuqian, Wang, Ye, Hu, Wei, Li, Jianfeng, Wang, Shaojun, Xiao, Jing, Xiong, Deyi
Conversational agents powered by Large Language Models (LLMs) show superior performance in various tasks. Despite the better user understanding and human-like responses, their lack of controllability remains a key challenge, often leading to unfocuse
Externí odkaz:
http://arxiv.org/abs/2407.03884
Disconnectivity and distortion are the two problems which must be coped with when processing 360 degrees equirectangular images. In this paper, we propose a method of estimating the depth of monocular panoramic image with a teacher-student model fusi
Externí odkaz:
http://arxiv.org/abs/2405.16858
Publikováno v:
Biomicrofluidics 2024, 18 (2), 024103
Solid-state micro/nanopores play an important role in the sensing field because of their high stability and controllable size. Aiming at problems of complex processes and high costs in pore manufacturing, we propose a convenient and low-cost micro/na
Externí odkaz:
http://arxiv.org/abs/2403.10029
Establishing efficient and robust covert channels is crucial for secure communication within insecure network environments. With its inherent benefits of decentralization and anonymization, blockchain has gained considerable attention in developing c
Externí odkaz:
http://arxiv.org/abs/2403.06261
Over the years, network traffic analysis and generation have advanced significantly. From traditional statistical methods, the field has progressed to sophisticated deep learning techniques. This progress has improved the ability to detect complex pa
Externí odkaz:
http://arxiv.org/abs/2403.05822