Papers by Suchithra M S

1 papers
Fisher Mask Nodes for Language Model Merging (2024.lrec-main)

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Challenge: Pre-trained models are ubiquitous in natural language processing, but individual fine-tuned models require significant overhead in multi-task scenarios.
Approach: They propose a method for fine-tuning pre-trained models for Transformers using Fisher information.
Outcome: The proposed method outperforms Fisher-weighted averaging in a fraction of the computational cost.

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