9 citations · 14 across the 7 of their papers we have counts for
5 papers · 1 filter
MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios
Patara Trirat, Jin Myung Kwak, Jay Heo +2
Financial decision-making is contextual: forecasting prices, valuing companies, and assessing event exposure weigh price history, accounting fundamentals, macroeconomic regime, and…
Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
Patara Trirat, Wonyong Jeong, Sung Ju Hwang
Large language models (LLMs) have demonstrated remarkable capabilities across diverse tasks, but optimizing LLM-based agentic systems remains challenging due to the vast search spa…
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
Patara Trirat, Jae-Gil Lee
The growing use of smartphones and IoT devices necessitates efficient time-series analysis on resource-constrained hardware, which is critical for sensing applications such as huma…
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
Patara Trirat, Wonyong Jeong, Sung Ju Hwang
Automated machine learning (AutoML) accelerates AI development by automating tasks in the development pipeline, such as optimal model search and hyperparameter tuning. Existing Aut…
Universal Time-Series Representation Learning: A Survey
Patara Trirat, Yooju Shin, Junhyeok Kang +6
Time-series data exists in every corner of real-world systems and services, ranging from satellites in the sky to wearable devices on human bodies. Learning representations by extr…