3 accepted papers
Recent advances in large language models (LLMs) have demonstrated the effectiveness of chain-of-thought (CoT) prompting. Few-Shot-CoT relies on task-specific, manually labeled demonstrations, limiting its generalization to unseen tasks. While Zero-Shot-CoT eliminates this reliance, it often underper…
Precipitation nowcasting based on radar data plays a crucial role in extreme weather prediction and has broad implications for disaster management. Despite progresses have been made based on deep learning, two key challenges of precipitation nowcasting are not well-solved: (i) the modeling of comple…
Recent studies have shown that integrating constructional information can improve the performance of pre-trained language models (PLMs) in natural language understanding. However, exploration into leveraging constructional information to enhance generative language models for natural language genera…