Papers by Yitao Cao

2 papers
Revisiting Pivot-Based Paraphrase Generation: Language Is Not the Only Optional Pivot (2021.emnlp-main)

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Challenge: Existing methods for paraphrase generation rely on language as the pivot . however, there is no evidence that parallel data of paraphrases is needed for paraphrasing.
Approach: They propose to use semantic and syntactic representations as pivot for paraphrase generation.
Outcome: The proposed method can generate paraphrases with better quality than using language as pivot.
HMCL: Task-Optimal Text Representation Adaptation through Hierarchical Contrastive Learning (2025.findings-emnlp)

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Challenge: Hierarchical Multilevel Contrastive Learning (HMCL) improves text representation for general large language models.
Approach: a new contrastive learning framework is developed to improve general large language models . HMCL integrates 3-level semantic differentiation and unifies contrastive and pair classification into a strategy .
Outcome: HMCL outperforms unsupervised methods and supervised fine-tuning approaches in multi-domain and multilingual benchmarks.

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