Skip to content
View huzama's full-sized avatar
💭
Ghost
💭
Ghost
5 followers · 0 following

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

Highlights

  • Pro

Block or report huzama

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
huzama/README.md

Profile Banner

About Me

Welcome to my page! I'm Huzama, a PhD candidate at the Kim Jaechul Graduate School of AI at the Korea Advanced Institute of Science and Technology (KAIST). I am currently conducting research in the xfact Lab under the mentorship of James Thorne.

Research Interests

My research revolves around:

  • Understanding the inner workings of Large Language Models (LLMs)
  • Enhancing the robustness of LLMs
  • Developing personalized LLMs

Contact

I'm always open to connecting and discussing new ideas! You can reach out to me through the following platforms:

Popular repositories Loading

  1. SHPubSubProtocol SHPubSubProtocol Public

    A multithreaded server for Pub\Sub

    C++

  2. FaultPredictorForMES FaultPredictorForMES Public

    IoT Based Intelligent Manufacturing Execution System

    TypeScript

  3. CXR_ReportGenerator CXR_ReportGenerator Public

    Forked from dinhkt/xray-image-captioning

    Jupyter Notebook

  4. AI605-NLP AI605-NLP Public

    Jupyter Notebook

  5. transformer-LS transformer-LS Public

    Forked from NVIDIA/transformer-ls

    Official implementation of Long-Short Transformer in PyTorch.

    Python

  6. GenRead GenRead Public

    Forked from wyu97/GenRead

    Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.

    Python