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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