Papers by Jaeri Lee
SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM Compression (2026.acl-long)
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| Challenge: | Existing methods for parameter sharing rely on naive grouping and fail to correct sharing-induced discrepancies. |
| Approach: | They propose a parameter sharing framework that performs similarity-based grouping to ensure accurate sharing and allocates parameters adaptively to preserve diversity within each group. |
| Outcome: | The proposed framework outperforms existing methods, achieving 32.1% lower perplexity and 23.3% higher few-shot reasoning accuracy. |