Papers by Ying Tiffany He
Flexora: Flexible Low-Rank Adaptation for Large Language Models (2025.acl-long)
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| Challenge: | Large language models (LLMs) have revolutionized artificial intelligence, but performance on specific tasks is limited by knowledge boundaries. |
| Approach: | They propose a method that automatically selects the most critical layers for fine-tuning to optimize performance across diverse downstream tasks. |
| Outcome: | The proposed method outperforms baseline models and natural language tasks. |