most citedTimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop

2 citations · 2 across the 5 of their papers we have counts for

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cs.AI2026

ReFuGe: Feature Generation for Prediction Tasks on Relational Databases with LLM Agents

Kyungho Kim, Geon Lee, Juyeon Kim +3

Relational databases (RDBs) play a crucial role in many real-world web applications, supporting data management across multiple interconnected tables. Beyond typical retrieval-orie…

cs.AI2025

TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents

Geon Lee, Wenchao Yu, Kijung Shin +2

Time series data is essential in various applications, including climate modeling, healthcare monitoring, and financial analytics. Understanding the contextual information associat…