Papers by Dae Yon Hwang
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval (2024.emnlp-main)
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| Challenge: | Existing methods for zero-shot learning are sparse, but have been used for dense retrieval (DR) . |
| Approach: | They propose a novel Universal Document Linking algorithm which links similar documents to enhance synthetic query generation across multiple datasets with different characteristics. |
| Outcome: | The proposed algorithm surpasses state-of-the-art methods in zero-shot cases. |
EmbedTextNet: Dimension Reduction with Weighted Reconstruction and Correlation Losses for Efficient Text Embedding (2023.findings-acl)
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| Challenge: | EmbedTextNet is a light add-on network that can be appended to an arbitrary language model to generate a compact embedding without requiring any changes in its architecture or training procedure. |
| Approach: | They propose an add-on network that can be appended to an arbitrary language model to generate a compact embedding without requiring any changes in its architecture or training procedure. |
| Outcome: | The proposed network can be appended to an arbitrary language model to generate a compact embedding without any changes in its architecture or training procedure. |