1 citations · 1 across the 4 of their papers we have counts for
4 papers
StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis
Xinyi Song, Lina Lee, Kexin Xie +3
The coding capabilities of large language models (LLMs) have opened up new opportunities for automatic statistical analysis in machine learning and data science. However, before th…
Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees
Gautam Chandrasekaran, Adam R. Klivans, Lin Lin Lee +1
We give the first provably efficient algorithms for learning neural networks with distribution shift. We work in the Testable Learning with Distribution Shift framework (TDS learni…
Performance Evaluation of Large Language Models in Statistical Programming
Xinyi Song, Kexin Xie, Lina Lee +10
The programming capabilities of large language models (LLMs) have revolutionized automatic code generation and opened new avenues for automatic statistical analysis. However, the v…
Musical Score Following and Audio Alignment
Lin Hao Lee
Real-time tracking of the position of a musical performance on a musical score, i.e. score following, can be useful in music practice, performance and production. Example applicati…