Papers with end-to-end refinement approaches
Learning to Refine with Fine-Grained Natural Language Feedback (2024.findings-emnlp)
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| Challenge: | Recent work has explored the capability of large language models to identify and correct errors in LLM-generated responses. |
| Approach: | They propose to combine refinement with feedback into three distinct competencies . step 1: Detect, Critique, Refine gives a fine-grained feedback about errors . |
| Outcome: | The proposed method outperforms existing refinement approaches and models not fine-tuned for factuality critiquing. |