Prev: Google Research (NYC), Qualcomm AI, DynamoFL (YCW22)
Located in Seoul, South Korea
Education
PhD - KAIST AI
MS - KAIST Data Science
BS - KAIST Mathematical Science
[Minor-Intellectual Property]
I am a Ph.D. Student in Optimization & Statistical Inference (OSI) Lab @ KAIST, advised by Prof. Se-Young Yun. I worked as a PhD Intern @ Google Research, Qualcomm AI, and DynamoFL (YCW22). My expected graduation date is Feb. 2025.
Contact: potter32 [at] kaist.ac.kr, kimtaehyeon610 [at] gmail.com (permanent)
I am in the industrial job market! Please feel free to contact me for any potential opportunities.
Here is my CV (Updated: Sep, 2024)!
About
My goal is to tackle trustworthy and real-world AI/ML challenges
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LLM: Instruction Tuning, Instructive Decoding, Speculative Decoding, Parallel Decoding
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CV/NLP: Knowledge Distillation & Learning with Noisy Labels
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Data Heterogeneity: Federated Learning & AutoML & Semi-Supervised Learning
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Efficiency: Efficient Deep Learning
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Game-Changing Research
️ News
Sep. 2024
Successfully passed my PhD Proposal!
May. 2024
Attending ICLR 2024 @ Vienna, Aus
Jan. 2024
1 Accepted @ ICLR2024 (Spotlight): Instruction Following on Large Language Model
Dec. 2023
1 Accepted @ NeurIPS2023W: Instruction Tuning & Instruction Following
1 Accepted @ NeurIPS2023: Semi-Supervised Federated Object Detection
Attending NeurIPS 2023 @ NOLA, US
1 Accepted @ AAAI2024: Few-shot & Domain Generalization
Oct. 2023
Working with Google Research NYC
Working at/with
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Publications & Technical Reports
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Preprints (Under Review)
Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni, Michael Riley, Sanjiv Kumar, Adrian Benton
Marc Bartholet*, Taehyeon Kim*, Ami Beuret, Se-Young Yun, Joachim M. Buhmann
FLR: Label-Mixture Regularization for Federated Learning with Noisy Labels
Taehyeon Kim, Donggyu Kim, Se-Young Yun
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters
Euiin Yi*, Taehyeon Kim*, Hongseok Jeung, Du-Seong Chang, Se-Young Yun
Namgyu Ho*, Sangmin Bae*, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun
Leadership Awards Activities
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Research Projects
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Invited Talks
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Services & Others
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