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Hyochan Chong

d7chong

https://d7chong.github.io/

AI & ML interests

research engineer at samsung research | interested in model compression, ml systems

Recent Activity

upvoted a paper 3 days ago

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

submitted a paper 3 days ago

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

authored a paper 4 days ago

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

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upvoted a paper 3 days ago

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

Paper • 2602.06694 • Published 7 days ago • 12

submitted a paper to Daily Papers 3 days ago

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

Paper • 2602.06694 • Published 7 days ago • 12

authored a paper 4 days ago

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

Paper • 2602.06694 • Published 7 days ago • 12

upvoted a paper 4 days ago

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

Paper • 2602.05367 • Published 8 days ago • 7

submitted a paper to Daily Papers 4 days ago

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

Paper • 2602.05367 • Published 8 days ago • 7

authored a paper 7 days ago

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

Paper • 2602.05367 • Published 8 days ago • 7