1 citations · 1 across the 5 of their papers we have counts for
5 papers
Why Do LLM Agents Fail in Exploring New Environments? A World-Modeling Perspective
Shiqi Chen, Tongyao Zhu, Zian Wang +8
Large Language Models (LLMs) as agents often fail to improve in new environments. We identify and characterize a failure mode we call exploration collapse: under reinforcement lear…
COMEX Copper Futures Volatility Forecasting: Econometric Models and Deep Learning
Zian Wang, Xinyi Lu
This paper investigates the forecasting performance of COMEX copper futures realized volatility across various high-frequency intervals using both econometric volatility models and…
On the macroeconomic fundamentals of long-term volatilities and dynamic correlations in COMEX copper futures
Zian Wang, Xinshu Li
This paper examines the influence of low-frequency macroeconomic variables on the high-frequency returns of copper futures and the long-term correlation with the S&P 500 index, emp…
HungerGist: An Interpretable Predictive Model for Food Insecurity
Yongsu Ahn, Muheng Yan, Yu-Ru Lin +1
The escalating food insecurity in Africa, caused by factors such as war, climate change, and poverty, demonstrates the critical need for advanced early warning systems. Traditional…
Retire: Robust Expectile Regression in High Dimensions
Rebeka Man, Kean Ming Tan, Zian Wang +1
High-dimensional data can often display heterogeneity due to heteroscedastic variance or inhomogeneous covariate effects. Penalized quantile and expectile regression methods offer…