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Hi there 👋

My name is Shaowen, and I am currently a graduate student at the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University. I had the privilege of obtaining my undergraduate degree in Computer Science from Fudan University.

You can view my cv here: linkedin

My past experience 👨‍🎓

My teaching ✒️

My current work ⌚

  • Currently at Tencent's Hunyuan Large Model Research, focusing on efficient fine-tuning and inference of large models, as well as long text processing.

My research interests 🔬

  • Efficient fine-tuning and inference of large models.
  • Long text processing.

My publications 📄

How to reach me 📭

Fun fact about me 🤣

  • I am a photography lover.
  • My favorite movie is Interstellar, and my favorite musical is Hamilton.
  • I love talking with different people and making friends. Invite me to eat out!

Thank you for reading!

Shaowen Wang's Projects

aicorrect icon aicorrect

Give suggestion to correcting cpp program using AI system

cs285 icon cs285

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dfss icon dfss

OpenMMLab Detection Toolbox and Benchmark

fastchat icon fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

fastnlp icon fastnlp

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

human-eval icon human-eval

Code for the paper "Evaluating Large Language Models Trained on Code"

llama-factory-dev icon llama-factory-dev

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

micro-ai icon micro-ai

micro-ai course in 2021 winter semester

openfe icon openfe

OpenFE: automated feature generation with expert-level performance

peft icon peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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