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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Mon, 03 Nov 2025 21:35:23 GMT access-control-allow-origin: * strict-transport-security: max-age=31556952 etag: W/"6909201b-7734" expires: Sun, 28 Dec 2025 08:07:37 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: 7A6D:2DDCFF:75FD53:843749:6950E2F0 accept-ranges: bytes age: 0 date: Sun, 28 Dec 2025 07:57:37 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210072-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1766908657.334794,VS0,VE283 vary: Accept-Encoding x-fastly-request-id: a9afc9f42127a7353dfa31ad928152ea8c91c083 content-length: 7023 Jihoon Tack

Jihoon Tack

Contact: jihoontack@{gmail.com,microsoft.com}

About

I am a Senior Researcher at AI Interaction and Learning group in Microsoft Research Redmond. I obtained my Ph.D. degree at KAIST, where I was advised by Jinwoo Shin. During my Ph.D., I have interned under or closely collaborated with Xian Li at Meta FAIR, Jonathan Richard Schwarz at Google DeepMind (now at Thomson Reuters), Yee Whye Teh at University of Oxford, and Jaeho Lee at POSTECH.

My research is primarily centered on developing efficient machine learning frameworks to address scalability challenges posed by large-scale models, with a particular focus on large language models. I am fortunate to be a recipient of Google Ph.D. Fellowship in machine learning.

Publications

* denotes equal contribution

Scalable and Robust LLM Unlearning by Correcting Responses with Retrieved Exclusions

Think Clearly: Improving Reasoning via Redundant Token Pruning

Mamba Drafters for Speculative Decoding

ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search

LLM Pretraining with Continuous Concepts

ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification

Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents

Sparsified State-Space Models are Efficient Highway Networks

Online Adaptation of Language Models with a Memory of Amortized Contexts

ReMoDetect: Reward Models Recognize Aligned LLM's Generations

Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning

Tabular Transfer Learning via Prompting LLMs

Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts

Learning Large-scale Neural Fields via Context Pruned Meta-Learning

Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder

Modality-Agnostic Variational Compression of Implicit Neural Representations

STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables

Rethinking the Entropy of Instance in Adversarial Training

Meta-Learning with Self-Improving Momentum Target

K-centered Patch Sampling for Efficient Video Recognition

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks

Consistency Regularization for Adversarial Robustness

Meta-Learning Sparse Implicit Neural Representations

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances

Adversarial Self-Supervised Contrastive Learning

Experience

Senior Researcher, Microsoft Research, AI Interaction and Learning Group, Nov. 2025 - Present
Research Scientist Intern, Meta FAIR (Host: Xian Li), Jun. 2024 - Mar. 2025
Visiting Student / Collaborator, University of Oxford (Host: Yee Whye Teh), Jun. 2023 - May 2024
External Collaborator, Jonathan Richard Schwarz at DeepMind → Thomson Reuters, Jun. 2022 - May 2024
External Collaborator, Jaeho Lee at POSTECH, Apr. 2022 - May 2023

Education

Ph.D. in Artificial Intelligence
Korea Advanced Institute of Science and Technology (KAIST), Mar. 2019 - Aug. 2025
Advisor: Jinwoo Shin

B.S. in Electrical Engineering and Mathematics (minored)
Korea Advanced Institute of Science and Technology (KAIST), Mar. 2014 - Feb. 2019

Honors and Awards

Qualcomm Innovation Fellowship Korea 2024
Google Ph.D. Fellowship 2023, Research Area: Machine Learning
Samsung Humantech Paper Awards 2023, Bronze Prize
Best Paper Award, Korean Artificial Intelligence Association 2021
Qualcomm Innovation Fellowship Korea 2020
Conference Scholar Award: NeurIPS 2023
Reviewer Awards: NeurIPS 2020, CVPR 2021, NeurIPS 2022, ICLR 2025

Academic Activities

Conference Reviewer: NeurIPS, ICML, ICLR, CVPR, ICCV, AAAI
Journal Reviewer: TMLR, IJCV, IEEE TPAMI, IEEE TNNLS, IEEE TIFS, IEEE TIP

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