Seohui Bae

I'm a research scientist at LG AI Research in South Korea.

At LG AI Research, I'm working on AI systems that model the world, make decisions, and adapt under uncertainty. I completed my bachelor's and master's studies at KAIST, where I was fortunate to be advised by Prof. Eunho Yang.

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News

• (26.02) 1 paper accepted to CVPR 2026.
• (26.01) 1 paper accepted to ICASSP 2026.
• (25.07) I will be attending ICML 2025 this July. See you in Vancouver 🇨🇦

Research

My research focuses on building AI systems that can model, decide, and adapt in complex environments. I study three complementary directions:

• Agent Decision-Making: RL and planning methods for intelligent agents in dynamic environments, with a focus on exploration and information-seeking behavior.
• Align as Act: Innovation-Based Policy Optimization for LLM Agent
• Align While Search: Belief-Guided Exploratory Inference for World-Grounded Embodied Agents
• World Models & Forecasting: Learning predictive models for forecasting, simulation, and model-based planning.
• Language-Agent Forecasting with World-Model Surrogates under Delayed Feedback
• Adaptive Information Routing for Multimodal Time Series Forecasting
• Robust Learning under Distribution Shift: Learning algorithms for reliable generalization under changing distribution.
• Geometry-Aware Normalization for Imbalanced Time-series Forecasting
• ShERPA: Shifting basin for Enhanced Robustness via Permuted Activations
• Gradient Surgery for One-shot Unlearning on Generative Model
• GTA: Graph Truncated Attention for Retrosynthesis

I regularly contribute to academic publications and collaborative research projects. I’m especially interested in bridging industrial challenges with generalizable solutions in: RL post-training, world models, and extrapolation

Interests

• Foundation Model-based Agents
• World Models for Embodied Reasoning
• Robust Decision-Making under Uncertainty

Education

• M.S. in Artificial Intelligence(Advisor: Eunho Yang), Mar 2020-Feb 2022
  Korea Advanced Institute of Science and Technology (KAIST)
• B.S. in Biological Science, Computer Science(minor), Mar 2015-Feb 2020
  Korea Advanced Institute of Science and Technology (KAIST)
• Korea Science of Academy of KAIST, Mar 2012-Feb 2015

Projects

LG AI Research : 2022-Current

• EXAONE-Futurecast
• Demand Forecasting
• Industrial Optimization

Academic Service

Conference / Journal Reviewer

• Conferences: ICML[26], NeurIPS[24-26], ICLR[26], AAAI[26], AISTATS[25-26]
• Workshops / Shorts: AAAI[23], ICLR[24], ICML[23]
• Journals: ACM Computing Surveys[24]

Last date of update: 2026-02-21 / template