Papers by Sofia Brenna
Dynamic Task-Oriented Dialogue: A Comparative Study of Llama-2 and Bert in Slot Value Generation (2024.eacl-srw)
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| Challenge: | Recent advances in instruction-based language models have demonstrated exceptional performance across various natural language processing tasks. |
| Approach: | They propose to use BERT and Llama-2 to generate dynamic task-oriented dialogues using a multi-dimensional dataset. |
| Outcome: | The proposed models generate predictions for masked slot values within text and are reproducible in open-source environments. |