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Hyunbyung Park

2 accepted papers

2025

Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models

NAACL 2025system demonstrations

To address the challenges associated with data processing at scale, we propose Dataverse, a unified open-source Extract-Transform-Load (ETL) pipeline for large language models (LLMs) with a user-friendly design at its core. Easy addition of custom processors with block-based interface in Dataverse a…

2024

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

NAACL 2024industry

We introduce SOLAR 10.7B, a large language model (LLM) with 10.7 billion parameters, demonstrating superior performance in various natural language processing (NLP) tasks. Inspired by recent efforts to efficiently up-scale LLMs, we present a method for scaling LLMs called depth up-scaling (DUS), whi…