Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation (2024.emnlp-main)
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| Challenge: | Large language models (LLMs) often produce factual errors due to limited internal knowledge. |
| Approach: | They propose a retrieval-augmented generation framework that generates plan tokens to guide subsequent generation. |
| Outcome: | The proposed framework improves the accuracy of large language models with external knowledge sources. |
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