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9 papers
"Rebuilding" Statistics in the Age of AI: A Town Hall Discussion on Culture, Infrastructure, and Training
David L. Donoho, Jian Kang, Xihong Lin +7
This article presents the full, original record of the 2024 Joint Statistical Meetings (JSM) town hall, "Statistics in the Age of AI," which convened leading statisticians to discu…
Calibrating Geophysical Predictions under Constrained Probabilistic Distributions
Zhewen Hou, Jiajin Sun, Subashree Venkatasubramanian +3
Machine learning (ML) has shown significant promise in studying complex geophysical dynamical systems, including turbulence and climate processes. Such systems often display sensit…
BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding
Jiayi Yuan, Cameron Shinn, Kai Xu +19
The growing demand for long-context inference capabilities in Large Language Models (LLMs) has intensified the computational and memory bottlenecks inherent to the self-attention m…
SELF-REDRAFT: Eliciting Intrinsic Exploration-Exploitation Balance in Test-Time Scaling for Code Generation
Yixiang Chen, Tianshi Zheng, Shijue Huang +2
Test-time scaling without interpreter feedback is essential for real-world code generation scenarios where test cases are not readily available. While existing paradigms often rely…
Machine Learning Workflows in Climate Modeling: Design Patterns and Insights from Case Studies
Tian Zheng, Subashree Venkatasubramanian, Shuolin Li +5
Machine learning has been increasingly applied in climate modeling on system emulation acceleration, data-driven parameter inference, forecasting, and knowledge discovery, addressi…
AI Education in Higher Education: A Taxonomy for Curriculum Reform and the Mission of Knowledge
Tian Zheng
Artificial intelligence (AI) is reshaping higher education, yet current debates often feel tangled, mixing concerns about pedagogy, operations, curriculum, and the future of work w…
Climate-Adaptive and Cascade-Constrained Machine Learning Prediction for Sea Surface Height under Greenhouse Warming
Tianmu Zheng, Ru Chen, Xin Su +3
Machine learning (ML) has achieved remarkable success in climate and marine science. Given that greenhouse warming fundamentally reshapes ocean conditions such as stratification, c…
ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage
Wenhao Ye, Tiansheng Zheng, Yue Qi +6
The intangible cultural heritage (ICH) of China, a cultural asset transmitted across generations by various ethnic groups, serves as a significant testament to the evolution of hum…
Long Is More Important Than Difficult for Training Reasoning Models
Si Shen, Fei Huang, Zhixiao Zhao +3
Difficult problems, which often result in long reasoning traces, are widely recognized as key factors for enhancing the performance of reasoning models. However, such high-challeng…