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Sehoon Kim

Sehoon Kim

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2026년 가을 KAIST AI 조교수 부임 예정으로 신규 연구실 합류 희망 학생을 모집한다. 자세한 내용은 개인 홈페이지의 안내 참고.

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Professor

About

AI 시스템, 효율적 AI, 대규모 언어모델을 연구한다. xAI 재직 시 Grok 시스템의 추론 및 강화학습 인프라에 집중했으며, 실제 AI 배포와 연산 효율성 문제를 연결하는 연구를 수행한다.

Research keywords

AI systemsefficient AIlarge language models

Selected publications

  • KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache QuantizationNeurIPS · 2024
  • AI and Memory WallIEEE Micro · 2024
  • SqueezeLLM: Dense-and-Sparse QuantizationICML · 2024
  • A Survey of Quantization Methods for Efficient Neural Network InferenceLow-Power Computer Vision (book chapter) · 2022
  • I-BERT: Integer-only BERT QuantizationICML · 2021

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