9 citations · 9 across the 2 of their papers we have counts for
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cs.LG2026
Clustering-Based Balanced Sampling and Allocation with Data Parallelism for High-Performance Fine-Tuning
Hyunjin Kim, Youngeun Nam, Jaemin Han +2
Instruction-tuning datasets for large language models (LLMs) are often large, redundant, and imbalanced, limiting efficient adaptation. Naive large-batch fine-tuning repeatedly inc…
cs.LG2024★ 9 cited
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…