Xiaoyang Li

Predicting CO2 fluxes across diverse lake types using an interpretable wavelet–PSO–deep learning framework

Rui Wang, Yuting Yang, Xiaoyang Li, Guangrong Hu, Fangzhong Shi

SenWorld: A Digital-Twin Simulation for Generating Context-Rich Evaluation Data

Zenghui Zhou, Xiaoyang Li, Xiaoxuan Qiao, Zhilang Wei, Tianming Lei

Smartphone personal assistants reason over longitudinal personal data, yet evaluating them requires context-rich evaluation data whose correct answers are known, and real device traces are too privacy-sensitive to share. To address this challenge, we present SenWorld, a physicall…Read more

The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning

Jing Liang, Hongyao Tang, Yi Ma, Yancheng He, Weixun Wang, Xiaoyang Li, et al.

Reinforcement learning (RL) has gained growing attention in large language model (LLM) post-training, yet RL training remains fragile and can suffer from instability or collapse. One vital cause is training-inference mismatch: LLM adopts separate inference and training engines fo…Read more