Liyu Chen

$\mathbf{(N,K)}$-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model

2024 · arXiv (Cornell University)

Recent advances in reinforcement learning (RL) algorithms aim to enhance the performance of language models at scale. Yet, there is a noticeable absence of a cost-effective and standardized testbed tailored to evaluating and comparing these …

Financial risk forecasting with RGCT-prerisk: a relational graph and cross-temporal contrastive pretraining framework

2025 · Journal of King Saud University - Computer and Information Sciences

Financial risk forecasting is critical for the early detection of corporate distress, yet traditional methods and recent deep learning models exhibit notable limitations. Prior approaches often rely on predefined financial ratios or brute-force feature combinations, …