This is your work, valued
Ph.D. Student in Computer Science at Stanford University
LLM-scientific-feedback. Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
534Modality-Gap. Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
176MetaShift. MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
110Mapping-the-Increasing-Use-of-LLMs-in-Scientific-Papers. Jupyter Notebook
72Mixture-of-Mamba. Python
51ChatGPT-Detector-Bias. Python
39dialog_evaluation_CMADE. Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation (ACL 2020)
10HERALD. HERALD: An Annotation Efficient Method to Train User Engagement Predictors in Dialogs (ACL 2021)
8AI-model-card-analysis-HuggingFace. Jupyter Notebook
5NeuralGroupTesting. Neural Group Testing to Accelerate Deep Learning (ISIT 2021)
5Stanford-OTL-Analysis. Systematic analysis of 50 years of Stanford University Technology Transfer and Commercialization
5data-centric-AI-perspective. Jupyter Notebook
3LLM-widespread-adoption-impact. Python
2eLife-peer-review-random-external-factors-study. How random is the review outcome? A systematic study of the impact of external factors on eLife peer review
2MoonShape. Accuracy on the moon
1OsOOS_without_memory. isolation
1ZhuSanJiao. C
1ZSJ_OS_Private. This repository was private before. Since the course has ended, I made it public.
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