6 citations · 6 across the 7 of their papers we have counts for
8 papers
Trie Constraints and Hierarchy-Aware Semantic Alignment for HS Code Prediction with Small Language Models
Minseop Kim, Taekhyun Park, Kikun Park +1
Harmonized System (HS) code prediction (HSP) from commodity text is essential to international trade, and its importance continues to grow in port logistics. Recently, large langua…
Variable-Horizon Workforce Demand Forecasting with an Aggregate Demand Constraint for Construction Workforce Planning
Hanbyeol Park, Jaehyeon Heo, Taekhyun Park +2
Workforce planning is a recurring operational decision during construction projects that requires accurate forecasts of the future workforce demand for individual tasks. However, i…
LoopUS: Recasting Pretrained LLMs into Looped Latent Refinement Models
Taekhyun Park, Yongjae Lee, Dohee Kim +1
Looped computation shows promise in improving the reasoning-oriented performance of LLMs by scaling test-time compute. However, existing approaches typically require either trainin…
Application of Large Language Models for Container Throughput Forecasting: Incorporating Contextual Information in Port Logistics
Minseop Kim, Jaeeun Kwon, Hanbyeol Park +3
Recent advancements in generative artificial intelligence (AI) have demonstrated its substantial potential in various fields. However, its application in port logistics remains und…
Generative AI and Machine Learning Collaboration for Container Dwell Time Prediction via Data Standardization
Minseop Kim, Takhyeong Kim, Taekhyun Park +2
Import container dwell time (ICDT) prediction is a key task for improving productivity in container terminals, as accurate predictions enable the reduction of container re-handling…
Rewarding Structural Conformance of Reasoning using Process Mining
Yongjae Lee, Taekhyun Park, Sunghyun Sim +1
Recent advances in sparse reward policy gradient methods have enabled effective reinforcement learning (RL)-based language model post-training. However, for reasoning tasks such as…
JustDense: Just using Dense instead of Sequence Mixer for Time Series analysis
TaekHyun Park, Yongjae Lee, Daesan Park +2
Sequence and channel mixers, the core mechanism in sequence models, have become the de facto standard in time series analysis (TSA). However, recent studies have questioned the nec…
LA-RCS: LLM-Agent-Based Robot Control System
TaekHyun Park, YoungJun Choi, SeungHoon Shin +1
LA-RCS (LLM-agent-based robot control system) is a sophisticated robot control system designed to autonomously plan, work, and analyze the external environment based on user requir…