Papers by Sachin Chanchani

1 papers
Composition-contrastive Learning for Sentence Embeddings (2023.acl-long)

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Challenge: Recent work shows potential to learn vector representations from unlabelled data without task-specific fine-tuning.
Approach: They propose to maximize alignment between textual embeddings and a composition of their phrasal constituents.
Outcome: The proposed approach improves on similarity tasks comparable to state-of-the-art approaches.

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