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Haiyan Ning

2 accepted papers

2025

HMCL: Task-Optimal Text Representation Adaptation through Hierarchical Contrastive Learning

EMNLP 2025

As general large language models continue to advance, their real-world adaptation through effective fine-tuning remains a significant challenge. We introduce Hierarchical Multilevel Contrastive Learning (HMCL), a new contrastive learning framework that improves task-specific text representation for

2024

VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE

ACL 2024findings

Text embedding requires a highly efficient method for training domain-specific models on limited data, as general models trained on large corpora lack universal applicability in highly specific fields. Therefore, we have introduced VAEGPT-Sim, an innovative model for generating synonyms that combine…

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