Papers by Reyhaneh Jabbarvand
LETI: Learning to Generate from Textual Interactions (2024.findings-naacl)
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| Challenge: | Existing techniques fine-tune on input-output pairs or with numerical rewards that gauge the output quality are not effective. |
| Approach: | They propose to fine-tune pre-trained language models with binary labels and a Python interpreter to get textual feedback from the inputs. |
| Outcome: | The proposed model outperforms the base model on unseen problems and achieves comparable or better performance on humanEval. |