Papers by EuiYul Song
Re3val: Reinforced and Reranked Generative Retrieval (2024.findings-eacl)
Copied to clipboard
| Challenge: | generative retrieval models encode pointers to information in a corpus as an index within the model’s parameters. |
| Approach: | They propose a generative retrieval model that leverages contextual information to rerank retrieved page titles and utilizes REINFORCE to maximize rewards generated by constrained decoding. |
| Outcome: | The proposed model can't be tuned for the downstream readers as decoding the page title is a non-differentiable operation. |