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@@ -212,6 +212,7 @@ We build a decision flow for choosing LLMs or fine-tuned models~\protect\footnot
- **SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization**, Arxiv 2023. [Paper](https://arxiv.org/abs/2303.13035)
2. Spurious biases
- **Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning**, Findings of ACL 2023 [Paper](https://aclanthology.org/2023.findings-acl.284/)
- **Shortcut learning of large language models in natural language understanding: A survey**, 2023 [Paper](https://arxiv.org/abs/2208.11857)
- **Mitigating gender bias in captioning system**, WWW 2020 [Paper](https://dl.acm.org/doi/abs/10.1145/3442381.3449950)
- **Calibrate Before Use: Improving Few-Shot Performance of Language Models**, ICML 2021 [Paper](https://arxiv.org/abs/2102.09690)