Taehyeon Kim (김태현)
Tech Lead · Research Scientist @ LG AI Research · Superintelligence Lab
Links
Education
PhD — KAIST AI
BS — KAIST Mathematical Science
Minor: Intellectual Property
Bio
I am Taehyeon Kim (김태현), a Tech Lead and Research Scientist at LG AI Research in the Superintelligence Lab. I received my Ph.D. in AI from KAIST (카이스트), where I was advised by Prof. Se-Young Yun in the OSI Lab.
I'm leading research and products for faster, more accurate AI agents. 더 빠르고 정확한 AI 에이전트 연구와 제품을 리드하고 있습니다.
I love coffee, running, and long walks at Seoul Forest, and I enjoy the Seongsu neighborhood culture. 커피를 좋아하고, 런닝과 서울숲 산책을 즐기며 성수동 문화를 좋아합니다.
Contact: kimtaehyeon610 [at] gmail [dot] com
Official website. CV and LinkedIn are up to date.
Selected Publications
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Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking
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Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
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Exploring & Improving Multi-token Prediction (Block Draft) in Language Modeling
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Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection
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Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
† co-corresponding authors; * equal contribution.
Honors
- Technical Reviewer, ICML 2026
- Google Conference Scholarship For NeurIPS 2024 multi-token prediction work.
- Winner, Qualcomm AI Fellowship FINE Samples for Learning with Noisy Labels (NeurIPS '21).
- NeurIPS competition awards Weather4Cast 4th; Black-Box Optimization 8th; MicroNet CIFAR-100 2nd & 3rd.
Leadership
- Tech Lead & Research Manager, LG AI Research Leading research across retrieval, LLM alignment, and agentic systems.
- Doctoral Student Representative, KAIST AI
- Lab Master, OSI Lab
- Vice Captain, KAIST ELKA