Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up
Hyochan Chong's picture
In a Training Loop 🔄
2 2

Hyochan Chong

d7chong
https://d7chong.github.io/
  • d7chong
  • d7chong
  • d7chong

AI & ML interests

research engineer at samsung research | interested in ml systems & agents

Recent Activity

commented on a paper about 20 hours ago
NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models
upvoted a paper 5 days ago
NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models
submitted a paper 5 days ago
NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models
View all activity

Organizations

None yet

submitted a paper to Daily Papers 5 days ago

NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models

Paper • 2602.06694 • Published 8 days ago • 14
authored a paper 6 days ago

NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models

Paper • 2602.06694 • Published 8 days ago • 14
submitted a paper to Daily Papers 6 days ago

RaBiT: Residual-Aware Binarization Training for Accurate and Efficient LLMs

Paper • 2602.05367 • Published 10 days ago • 7
authored a paper 8 days ago

RaBiT: Residual-Aware Binarization Training for Accurate and Efficient LLMs

Paper • 2602.05367 • Published 10 days ago • 7
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs