Generative AI
- Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? 2024.10.03
- Learning To Retrieve Prompts for In-Context Learning 2024.10.02
- Reordering Examples Helps during Priming-based Few-Shot Learning 2024.10.02
- Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting 2024.10.02
- Calibrate Before Use: Improving Few-shot Performance of Language Models 2024.10.01
- A Survey on In-context Learning 2024.09.30
- Fantastically Ordered Prompts and Where to Find Them:Overcoming Few-Shot Prompt Order Sensitivity 2024.09.30
- What Makes Good In-Context Examples for GPT-3? 2024.09.30
- Self-Consistency improves Chain-of Thought Reasoning in Language Models 2024.09.29
- Least-to-Most Prompting enables complex reasoning in LLM 2024.09.29