9 citations · 26 across the 15 of their papers we have counts for
3 papers · 1 filter
Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability
Genta Indra Winata, David Anugraha, Emmy Liu +17
High-quality datasets are fundamental to training and evaluating machine learning models, yet their creation-especially with accurate human annotations-remains a significant challe…
QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning
Moses Ananta, Muhammad Farid Adilazuarda, Zayd Muhammad Kawakibi Zuhri +2
Fine-tuning large language models (LLMs) is often constrained by the computational costs of processing massive datasets. We propose \textbf{QLESS} (Quantized Low-rank Gradient Simi…
MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding
Zayd Muhammad Kawakibi Zuhri, Muhammad Farid Adilazuarda, Ayu Purwarianti +1
Auto-regressive inference of transformers benefit greatly from Key-Value (KV) caching, but can lead to major memory bottlenecks as model size, batch size, and sequence length grow…