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pro vyhledávání: '"Wang Jianhong"'
In human-AI interaction, a prominent goal is to attain human`s desirable outcome with the assistance of AI agents, which can be ideally delineated as a problem of seeking the optimal Nash Equilibrium that matches the human`s desirable outcome. Howeve
Externí odkaz:
http://arxiv.org/abs/2405.16588
With the proliferation of red-teaming strategies for Large Language Models (LLMs), the deficiency in the literature about improving the safety and robustness of LLM defense strategies is becoming increasingly pronounced. This paper introduces the LLM
Externí odkaz:
http://arxiv.org/abs/2405.12604
Autor:
Wang, Jianhong
Multi-agent reinforcement learning is an area of rapid advancement in artificial intelligence and machine learning. One of the important questions to be answered is how to conduct credit assignment in a multi-agent system. There have been many scheme
Externí odkaz:
http://arxiv.org/abs/2402.15324
Ad hoc teamwork poses a challenging problem, requiring the design of an agent to collaborate with teammates without prior coordination or joint training. Open ad hoc teamwork (OAHT) further complicates this challenge by considering environments with
Externí odkaz:
http://arxiv.org/abs/2402.15259
Among the research topics in multi-agent learning, mixed-motive cooperation is one of the most prominent challenges, primarily due to the mismatch between individual and collective goals. The cutting-edge research is focused on incorporating domain k
Externí odkaz:
http://arxiv.org/abs/2402.12416
Successful machine learning involves a complete pipeline of data, model, and downstream applications. Instead of treating them separately, there has been a prominent increase of attention within the constrained optimization (CO) and machine learning
Externí odkaz:
http://arxiv.org/abs/2312.10587
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 35, Pp 4435-4438 (2024)
Background There are many types of vestibular function examination, each with different targets and positive rates. Clinical opinions vary on how to appropriately select examination methods for vertigo patients. Objective To explore the application v
Externí odkaz:
https://doaj.org/article/e8e8adf3568f42c092213e2e44b38176
Autor:
Yang, Mengyue, Fang, Zhen, Zhang, Yonggang, Du, Yali, Liu, Furui, Ton, Jean-Francois, Wang, Jianhong, Wang, Jun
Out-of-distribution (OOD) generalization is indispensable for learning models in the wild, where testing distribution typically unknown and different from the training. Recent methods derived from causality have shown great potential in achieving OOD
Externí odkaz:
http://arxiv.org/abs/2309.12559
Autor:
Ye, Weishan, Zhang, Zhiguo, Teng, Fei, Zhang, Min, Wang, Jianhong, Ni, Dong, Li, Fali, Xu, Peng, Liang, Zhen
Electroencephalography (EEG) is an objective tool for emotion recognition with promising applications. However, the scarcity of labeled data remains a major challenge in this field, limiting the widespread use of EEG-based emotion recognition. In thi
Externí odkaz:
http://arxiv.org/abs/2308.11635
Publikováno v:
精准医学杂志, Vol 39, Iss 5, Pp 393-396 (2024)
Objective To investigate the value of real-time tissue elastography (RTE) in evaluating donor liver quality and postoperative early allograft dysfunction (EAD) in liver transplantation patients. Methods A total of 58 patients who received liver trans
Externí odkaz:
https://doaj.org/article/569ae776fe9e46f58f5d67d54f99af0f