Papers by Nitesh Vamshi Bommisetty
Event Detection with a Context-Aware Encoder and LoRA for Improved Performance on Long-Tailed Classes (2026.findings-eacl)
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| Challenge: | Decoder-only models dominate the event detection literature, but their unidirectional attention mechanism has been a roadblock in getting strong performance on embedding. |
| Approach: | They propose to use Macro-F1 as a more representative measure of a model’s ability across the long-tail of event types to improve their models' performance. |
| Outcome: | The proposed model improves on the decoder-only models, showing that low-rank Adaptation can be an effective tool to enhance LLMs’ performance on long-tailed event classes. |