5 citations · 6 across the 4 of their papers we have counts for
5 papers
Learning Robust Regions of Attraction Using Rollout-Enhanced Physics-Informed Neural Networks with Policy Iteration
Junkai Wang, Yuxuan Zhao, Mi Zhou +1
The region of attraction is a key metric of the robustness of systems. This paper addresses the numerical solution of the generalized Zubov's equation, which produces a special Lya…
Backtesting Sentiment Signals for Trading: Evaluating the Viability of Alpha Generation from Sentiment Analysis
Elvys Linhares Pontes, Carlos-Emiliano González-Gallardo, Georgeta Bordea +4
Sentiment analysis, widely used in product reviews, also impacts financial markets by influencing asset prices through microblogs and news articles. Despite research in sentiment-d…
Can Large Language Models Become Policy Refinement Partners? Evidence from China's Social Security Studies
Jinghan Ke, Zheng Zhou, Yuxuan Zhao
The rapid development of large language models (LLMs) is reshaping operational paradigms across multidisciplinary domains. LLMs' emergent capability to synthesize policy-relevant i…
In-Context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-Separation
Frank Cole, Yuxuan Zhao, Yulong Lu +1
This paper investigates approximation-theoretic aspects of the in-context learning capability of the transformers in representing a family of noisy linear dynamical systems. Our fi…
Challenges and Contributing Factors in the Utilization of Large Language Models (LLMs)
Xiaoliang Chen, Liangbin Li, Le Chang +4
With the development of large language models (LLMs) like the GPT series, their widespread use across various application scenarios presents a myriad of challenges. This review ini…