Papers with zero-shot and chain-of-thought prompting
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents (2024.eacl-long)
Copied to clipboard
| Challenge: | Using chain-of-thought prompting, large language models perform better on complex reasoning tasks. |
| Approach: | They propose a prompting framework that decomposes a question into a sequence of actions and executes them over the document to obtain the answer. |
| Outcome: | The proposed framework outperforms zero-shot and chain-of-thought prompting on a QuALITY dataset . it proposes a plan based on actions mined from a training set and executes it step by step . |