Papers by Donald Shenaj

1 papers
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models (2026.acl-long)

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Challenge: Large Language Models (LLMs) are powerful general-purpose models that can be adapted to a wide range of problem types in many languages.
Approach: They propose a method for on-device online continual merging to integrate new LoRAs when a new one becomes available.
Outcome: The proposed approach outperforms other methods while adhering to storage budget constraints.

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