Blog(1)
Recently, there has been growing interest in personalized image generation [4, 5], where users can generate images that depict particular subjects or styles by providing just a few reference images.
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Publications(19)
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
AuthorOndrej Bohdal, Mete Ozay
PublishedThe 64th Annual Meeting of the Association for Computational Linguistics (ACL)
Date2026-07-02
Data-driven Clustering and Merging of Adapters for On-device Large Language Models
AuthorOndrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko
PublishedIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Date2026-05-04
Grouped Adaptive Weight Sharing (GAWS): An Inference-Efficient Adaptation Method for Large Language Models
AuthorEman Alsuradi, Junhyun Lee, Kyenghun Lee, Hyeonmok Ko, Fahed Jubair
PublishedThe Association for Computational Linguistics (ACL)
Date2026-04-07
News(6)
The wireless industry stands at a critical juncture as we begin preparing for the transition from 5G to 6G. With global mobile data traffic projected to grow exponentially in the coming years, the need for new spectrum bands has never been more pressing.
Samsung R&D Institute India-Bangalore (SRI-B) is proud to announce that its Network R&D team has received the Best Research Paper Award at the esteemed IEEE International Conference on Communications (ICC) 2024 workshop (BlockSecSDN 2024), held on June 13th, 2024 in Denver, Colorado, USA.
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