| Coverage-based Example Selection for In-Context Learning | May 24, 2023 | In-Context LearningInformativeness | CodeCode Available | 1 |
| OverPrompt: Enhancing ChatGPT through Efficient In-Context Learning | May 24, 2023 | Data AugmentationFact Checking | CodeCode Available | 0 |
| Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy | May 24, 2023 | In-Context LearningMultiple-choice | CodeCode Available | 0 |
| Universal Self-Adaptive Prompting | May 24, 2023 | In-Context LearningNatural Language Understanding | —Unverified | 0 |
| Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models | May 24, 2023 | Fact CheckingIn-Context Learning | CodeCode Available | 1 |
| Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance | May 24, 2023 | Cross-Lingual TransferIn-Context Learning | —Unverified | 0 |
| ExpertPrompting: Instructing Large Language Models to be Distinguished Experts | May 24, 2023 | In-Context LearningInstruction Following | CodeCode Available | 2 |
| Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning | May 24, 2023 | counterfactualData Augmentation | CodeCode Available | 0 |
| Adversarial Demonstration Attacks on Large Language Models | May 24, 2023 | In-Context Learning | —Unverified | 0 |
| Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations | May 24, 2023 | In-Context Learning | CodeCode Available | 0 |
