Papers by Sweta Pati
Instruction-Tuning LLMs for Event Extraction with Annotation Guidelines (2025.findings-acl)
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| Challenge: | Existing applications of large language models to IE can be categorized into two lines: prompt engineering-based approaches and instruction-tuning open-weight LLMs. |
| Approach: | They propose to use annotation guidelines to teach large language models for event extraction . they use textual descriptions of event types and arguments to train the models . |
| Outcome: | The proposed approach improves cross-schema generalization and low-frequency event-type performance when there is a decent amount of training data. |