Papers by Vidhi Gupta
Improving Training Efficiency and Reducing Maintenance Costs via Language Specific Model Merging (2026.eacl-industry)
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| Challenge: | Recent research on merging multilingual multitask models has shown promise in terms of improved quality, but its computational and maintenance efficiency remains unstudied. |
| Approach: | They propose a method for fine-tuning a multilingual large language model . they compare a "retrain-all" approach and a 'train-once, merge-as-needed' approach . |
| Outcome: | The proposed approach reduces training time by up to 50% while maintaining parity in terms of quality. |