Papers by Jianshang Kou
KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction (2024.emnlp-main)
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| Challenge: | Existing methods for generating synthetic instructions for large language models suffer from stale distribution and scalability. |
| Approach: | They propose a method which incorporates KNN deduction to produce meaningful new instructions by summarizing and learning from existing ones. |
| Outcome: | The proposed method outperforms all 7B models on the LMSYS leaderboard. |