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Weixin-Liang

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@Weixin-Liang

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.

534

Modality-Gap. Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning

176

MetaShift. MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)

110

Mapping-the-Increasing-Use-of-LLMs-in-Scientific-Papers. Jupyter Notebook

72

Mixture-of-Mamba. Python

51

ChatGPT-Detector-Bias. Python

39

dialog_evaluation_CMADE. Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation (ACL 2020)

10

HERALD. HERALD: An Annotation Efficient Method to Train User Engagement Predictors in Dialogs (ACL 2021)

8

AI-model-card-analysis-HuggingFace. Jupyter Notebook

5

NeuralGroupTesting. Neural Group Testing to Accelerate Deep Learning (ISIT 2021)

5

Stanford-OTL-Analysis. Systematic analysis of 50 years of Stanford University Technology Transfer and Commercialization

5

data-centric-AI-perspective. Jupyter Notebook

3

LLM-widespread-adoption-impact. Python

2

eLife-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

2

MoonShape. Accuracy on the moon

1

OsOOS_without_memory. isolation

1

ZhuSanJiao. C

1

ZSJ_OS_Private. This repository was private before. Since the course has ended, I made it public.

1