Papers by Tugrul Konuk

1 papers
Tied-LoRA: Enhancing parameter efficiency of LoRA with Weight Tying (2024.naacl-long)

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Challenge: a new paradigm for low-rank Adaptation (LoRA) uses weight tying and selective training to improve parameter efficiency.
Approach: They propose a paradigm that uses weight tying and selective training to enhance parameter efficiency of Low-rank Adaptation.
Outcome: The proposed paradigm achieves comparable performance to LoRA with reduced model complexity . the proposed paradigm can be used for a variety of tasks and languages .

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