Blog(1)

• Text-Aware Adapter for Few-Shot Keyword Spotting

  Keyword spotting (KWS) is a technique for detecting pre-defined keywords in audio streams.

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Publications(12)

• 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

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News(4)

• [Blog] K-Merge: Online Continual Merging of Adapters for On-device Large Language Models

  Large Language Models (LLMs) have revolutionized natural language processing, offering unprecedented capabilities.

• [Blog] GalaxyEdit: Large Scale Image Editing Dataset with Enhanced Diffusion Adapter

  Have you ever wished you could easily add or remove objects in your photos—like adding a candle on the top of your birthday cake, or removing that background person from your photo?

• [Blog] Efficient Compositional Multi-tasking for On-device Large Language Models

  Adapter parameters [2] provide a mechanism to modify the behaviour of machine learning models and have gained significant popularity in the context of large language models (LLMs) and generative AI.

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