Yuhao Wang

Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm

2022 · IEEE Transactions on Emerging Topics in Computational Intelligence

The performance of an evolutionary algorithm (EA) is deeply affected by its control parameter's setting. It has become a trend in recent studies to treat the control parameter as a random variable. In these studies, …

Efficient polarization-insensitive quasi-BIC modulation by VO ₂ thin films

2024 · Optics Express

Bound states in the continuum (BIC) offer great design freedom for realizing high-quality factor metasurfaces. By deliberately disrupting the inherent symmetries, BIC can degenerate into quasi-BIC exhibiting sharp spectra with strong light confinement. This transformation …

Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator

2024 · arXiv (Cornell University)

Large Language Models (LLMs) have demonstrated remarkable proficiency in human interactions, yet their application within the medical field remains insufficiently explored. Previous works mainly focus on the performance of medical knowledge with examinations, which is …

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations

2024 · arXiv (Cornell University)

The lack of training data gives rise to the system cold-start problem in recommendation systems, making them struggle to provide effective recommendations. To address this problem, Large Language Models (LLMs) can model recommendation tasks as …

CS3-Bench: Evaluating and Enhancing Speech-to-Speech LLMS for Mandarin-English Code-Switching

2026

The advancement of multimodal large language models has accelerated the development of speech-to-speech interaction systems. While natural monolingual interaction has been achieved, we find existing models exhibit deficiencies in language alignment. In our proposed Code-Switching …