Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
courses
Applied Causal Inference for Data Science · Columbia University
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This is an introductory and applied course in Casual Inference .
Deep Learning · MIT Online
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Introduction to reinforcement learning course series by MIT Online.
Machine Learning · Stanford Online
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Advanced seminar exploring supervised learning, unsupervised learning, learning theory, reinforcement learning.
Reinforcement Learning with Large Language Models · AMD
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An applied course on reinforcement learning for large language models, covering the full workflow from autoregressive sampling and policy-gradient foundations to hardware-aware rollout systems and modern group-based policy optimization methods.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Extracting Latent Dimensions from Multidimensional Response Timing Data
Published in Proceedings of the Annual Meeting of the Cognitive Science Society, 2025
Recommended citation: Xu, G., & Corter, J. E. (2025). Extracting Latent Dimensions from Multidimensional Response Timing Data. Proceedings of the Annual Meeting of the Cognitive Science Society. https://escholarship.org/uc/item/7wm1k7cv
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Graph RAG for Automated Short Answer Grading with Feedback: Bridging Pedagogical Needs and Technical Capabilities
Published in Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Recommended citation: Xu, G., & Corter, J. E. (2026). Graph RAG for Automated Short Answer Grading with Feedback: Bridging Pedagogical Needs and Technical Capabilities. Proceedings of the AAAI Conference on Artificial Intelligence, 40(48), 40916-40924. https://doi.org/10.1609/aaai.v40i48.42125
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KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data
arXiv preprint, 2026
Forward Shapley Scoring for Non-Myopic Active Feature Acquisition
Accepted to The 40th Annual Conference on Neural Information Processing Systems, 2026
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Assistant
HUDM 6055: Latent Structure Analysis, Teachers College, Columbia University, 2022
Teaching Assistant
HUDM 5123: Linear Models Experimentl Dsgn, Teachers College, Columbia University, 2024
Teaching Assistant
HUDM 4120: Introduction to Statistics, Teachers College, Columbia University, 2024
Teaching Assistant
HUDM 5059: Psychological measurement, Teachers College, Columbia University, 2025