Seohui Bae — accepted AI-conference papers

2026

Align While Search: Belief-Guided Exploratory Inference for World-Grounded Embodied Agents

Seohui Bae, Jeonghye Kim, Youngchul Sung, Woohyung Lim

CVPR 2026

In this paper, we propose a test-time adaptive agent that performs exploratory inference through posterior-guided belief refinement without relying on gradient-based updates or additional training for LLM agent operating under partial observability. Our agent maintains an external structured belief

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2021

GTA: Graph Truncated Attention for Retrosynthesis

Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin +2

AAAI 2021technical

Retrosynthesis is the task of predicting reactant molecules from a given product molecule and is, important in organic chemistry because the identification of a synthetic path is as demanding as the discovery of new chemical compounds. Recently, the retrosynthesis task has been solved automatically…

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