Papers by G Hudson
Length is a Curse and a Blessing for Document-level Semantics (2023.emnlp-main)
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| Challenge: | In recent years, contrastive learning (CL) has been extensively utilized to recover sentence and document-level encoding capability from pre-trained language models. |
| Approach: | They propose a document-based contrastive learning framework that is length-agnostic self-reference based on document length. |
| Outcome: | The proposed framework achieves state-of-the-art on the standard information retrieval benchmark. |