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StanfordMIMI · Sep 22, 2023 · e2f02c4 · e2f02c4
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-					Quantitative metric (MEDCON) scores vs. number of in-context examples across models and datasets. We also include the best model fine-tuned with QLoRA (FLAN-T5) as a horizontal dashed line for valid datasets. Note the allowable number of in-context examples varies signficantly my model context length and dataset size. See the paper for more details and results across other metrics (BLEU, ROUGE-L, BERTScore).
+					Quantitative metric (MEDCON) scores vs. number of in-context examples across models and datasets. We also include the best model fine-tuned with QLoRA (FLAN-T5) as a horizontal dashed line for valid datasets. Zero-shot prompting (0 examples) often yields considerably inferior results, underscoring the need for adaptation methods. Note the allowable number of in-context examples varies signficantly my model context length and dataset size. See the paper for more details and results across other metrics (BLEU, ROUGE-L, BERTScore).
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diff --git a/resources/graphs_medcon.png b/resources/graphs_medcon.png