4 papers
TIAO: Token Importance-Aware Policy Optimization for Text Summarization
Qixiu Li, Chenlong Bao, Xiang Zhu +4
Text summarization requires models to condense content while preserving key qualities such as consistency and coherence. Large language models (LLMs) have shown strong performance…
EVEREST:Endogenous Vision-Language Reinforcement Reasoning Exploration for Urban Socio-Semantic Segmentation
Qixiu Li, Zhongzhi He, Xiang Zhu +3
Urban socio-semantic segmentation leverages digital and satellite imagery to provide critical spatial semantic information for downstream applications such as urban resource alloca…
Diffusion Models Bridge Deep Learning and Physics in ENSO Forecasting
Weifeng Xu, Xiang Zhu, Xiaoyong Li +19
Accurate long-range forecasting of the El \Nino-Southern Oscillation (ENSO) is vital for global climate prediction and disaster risk management. Yet, limited understanding of ENSO'…
RCDM: Enabling Robustness for Conditional Diffusion Model
Weifeng Xu, Xiang Zhu, Xiaoyong Li
The conditional diffusion model (CDM) enhances the standard diffusion model by providing more control, improving the quality and relevance of the outputs, and making the model adap…