Papers by Jianting Liu
S3Prompt: Instructing the Model with Self-calibration, Self-recall and Self-aggregation to Improve In-context Learning (2024.lrec-main)
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| Challenge: | Large language models have limitations in practical applications, such as unsupervised generation and recall of in-context examples. |
| Approach: | They propose a self-calibration, self-recall and self-aggregation prompt pipeline to solve these problems. |
| Outcome: | The proposed pipeline improves the performance of large language models without annotating datasets and model parameter updates. |