Papers by Mayukh Sharma
Linear Layer Extrapolation for Fine-Grained Emotion Classification (2024.emnlp-main)
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| Challenge: | Existing studies show that Transformer-based language models are more factual accurate in later layers . |
| Approach: | They propose a method that optimizes contrast based on the selected intermediate layer . they observe a similar pattern for fine-grained emotion classification in text . |
| Outcome: | Experiments show that the proposed method outperforms standard methods in fine-grained emotion classification tasks. |