Jegelka, Stefanie

Virtual screening of inorganic materials synthesis parameters with deep learning

Kim, E., Huang, K., Jegelka, S., & Olivetti, E. (2017) · npj Computational Materials

Machine Learning in Materials ScienceComputational Drug Discovery Methods

Cited by 190

A Theoretical Understanding of Self-Correction through In-context Alignment

Wang, Y., Wu, Y., Wei, Z., Jegelka, S., & Wang, Y. (2024) · Advances in Neural Information Processing Systems 37

Natural Language Processing TechniquesEFL/ESL Teaching and Learning

Cited by 11

The Exact Sample Complexity Gain from Invariances for Kernel Regression

Tahmasebi, B., & Jegelka, S. (2023) · Advances in Neural Information Processing Systems 36

Machine Learning and AlgorithmsStochastic Gradient Optimization Techniques

Cited by 6

When More is Less: Understanding Chain-of-Thought Length in LLMs

Wu, Y., Wang, Y., Ye, Z., Du, T., Jegelka, S., & Wang, Y. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

What is Wrong with Perplexity for Long-context Language Modeling?

Fang, L., Wang, Y., Liu, Z., Zhang, C., Jegelka, S., Gao, J., Ding, B., & Wang, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2