5 papers
ReCurveflow: A Flow Matching Framework that Learns Curved Reaction Trajectories to Predict Transition State Geometries
Seungheun Baek, Mogan Gim, Jaewoo Kang
Predicting transition states (TS) in chemical reactions is crucial, as they provide insights into reaction mechanisms. Recent work on TS prediction have focused on flow matching su…
An LLM-based Chain-of-Response Counter-Scam System
Heedou Kim, Mogan Gim, Donghee Choi +4
The rapid evolution of online scams, driven by transnational networks and mass produced social engineering scenarios, has exposed the speed limitations of conventional detection, n…
DeepAries: Adaptive Rebalancing Interval Selection for Enhanced Portfolio Selection
Jinkyu Kim, Hyunjung Yi, Mogan Gim +2
We propose DeepAries , a novel deep reinforcement learning framework for dynamic portfolio management that jointly optimizes the timing and allocation of rebalancing decisions. Unl…
GPO-VAE: Modeling Explainable Gene Perturbation Responses utilizing GRN-Aligned Parameter Optimization
Seungheun Baek, Soyon Park, Yan Ting Chok +2
Motivation: Predicting cellular responses to genetic perturbations is essential for understanding biological systems and developing targeted therapeutic strategies. While variation…
Culinary Class Wars: Evaluating LLMs using ASH in Cuisine Transfer Task
Hoonick Lee, Mogan Gim, Donghyeon Park +2
The advent of Large Language Models (LLMs) have shown promise in various creative domains, including culinary arts. However, many LLMs still struggle to deliver the desired level o…