Chris Yuhao Liu

yliu298 [at] ucsc [dot] edu

I am a fourth-year undergraduate student at the University of California, Santa Cruz. I also work as a researcher at Professor Jeffrey Flanigan’s JLab.

I am currently working on algorithms that can improve the sample complexity of neural networks. I am also interested in learning with less data, out-of-distribution generalization, and interpretability of neural networks.

Blog  /  CV  /  Email  /  Github  /  LinkedIn  /  Twitter

profile photo
News
Posts
Research

These included publications and preprints.

Other projects

These include coursework and side projects.

TAPT: Text Augmentation Using Pre-Trained Transformers With Reinforcement Learning
UC Santa Cruz
2020-07-30

I fine-tuned a distilled RoBERTa model as a text classifier on the IMDb Large Movie Review Dataset and a GPT-2 (345M) as a text generator using the proximal policy optimization (PPO) framework.

Fine-Tuning GPT-2 to Generate Research Paper Abstracts
UC Santa Cruz
2020-06-05

I fine-tuned a pre-trained GPT-2 (774M) model using all research paper titles and abstracts under cs.AI, cs.LG, cs.CL, and cs.CV on arXiv and built a machine learning paper abstract generator. The model is hosted by Hugging Face. This project was the winner of the Image/Text Generation Competition for the course CSE142 Machine Learning in Spring 2020.

Sentiment Analysis With Transformers
UC Santa Cruz
2020-06-05

I fine-tuned a RoBERTa (355M) model using the IMDb dataset and achieved 96.516% accuracy. This project was the winner of the Sentiment Analysis Competition for the course CSE142 Machine Learning in Spring 2020.

Service

Tutor, CSE142 Machine Learning Fall 2020


This is a fork of Jon Barron's website.