Papers by Ziyong Lin
Varying Sentence Representations via Condition-Specified Routers (2024.emnlp-main)
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| Challenge: | Existing sentences cannot account for different aspects of semantic similarity between two sentences. |
| Approach: | They propose a transformer-style framework that generates conditioned sentences . they propose 'conditional' STS, which measures similarity between two sentences based on condition sentences - a task that requires a sentence embedding model capable of generating distinct representations for the same sentence under different conditions. |
| Outcome: | The proposed framework is superior to existing models on two condition sentences . it can generate conditioned sentences while maintaining model parameters and computational efficiency . |
Look Both Ways and No Sink: Converting LLMs into Text Encoders without Training (2025.acl-long)
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| Challenge: | Existing methods for converting large language models into powerful text encoders require extensive training on large datasets. |
| Approach: | They propose a training-free approach that enables bidirectional attention and suppresses the attention sink phenomenon, resulting in superior performance. |
| Outcome: | The proposed approach enables bidirectional attention and suppresses the attention sink phenomenon, resulting in superior performance. |