Upstage Announces 7 Papers in Data-Centric AI, 'Most in Korea'

AI startup Upstage has achieved the best results in Korea in data-centric research.

Upstage announced on the 22nd that it presented seven papers at the 'Data-centric Machine Learning Research (DMLR) Workshop,' the most prestigious workshop in the field of data-centric AI, achieving the highest number of research outcomes among domestic companies.

[Photo by Upstage]

The International Conference on Machine Learning (ICML 2023-DMLR) is a top-tier academic event covering both theory and practice of machine learning, attracting over 70,000 participants annually. It is an international conference with a 20% paper acceptance rate and an impact factor of 6.99, making it the most influential AI conference. DMLR is a workshop on data-centric machine learning research held during ICML 2023, featuring participation from world-renowned scholar and founder of data-centric AI, Professor Andrew Ng from Stanford University.

Upstage presented seven research outcomes at the workshop, covering ▲processes for effectively building AI training data in enterprises ▲effective cost management and efficient construction during data building.

Among these research outcomes, four papers were conducted in collaboration with the research team of Professor Heeseok Lim from Korea University, a world-renowned scholar in the field of natural language processing. Notably, researcher Chanjoon Park from Upstage, who participated in all seven papers, has published papers in this field for three consecutive years since 2021.

Seonghoon Kim, CEO of Upstage, said, "We are very pleased to achieve top global research results at ICML 2023-DMLR," adding, "Upstage will do its best not only in AI services but also through generous research and development (R&D) investments so that everyone can conveniently use AI with the best performance."

This content was produced with the assistance of AI translation services.