Papers with encoder-only based networks
LLM-Guided Co-Training for Text Classification (2025.emnlp-main)
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| Challenge: | Empirical results show that it achieves state-of-the-art performance on 4 out of 5 benchmark datasets and ranks first among 14 compared methods according to the Friedman test. |
| Approach: | They propose a weighted co-training approach that is guided by Large Language Models (LLMs) they use LLM labels on unlabeled data as target labels and co-train two encoder-only based networks that train each other over multiple iterations. |
| Outcome: | The proposed approach outperforms conventional methods on 4 out of 5 benchmark datasets and ranks first among 14 compared methods according to the Friedman test. |