| Check our SIGIR2021 short paper: https://dl.acm.org/doi/10.1145/3404835.3463048 | |
| This checkpoint is a variant of monot5 (T5 pointwise re-ranking model). | |
| Specifically, we fuse the "P2Q (i.e. doc2query)" and "Rank (i.e. passage ranking)" to learn the **discriminative** view (Rank) and **geneartive** view (P2Q). | |
| We found that under the specific **mixing ratio** of these two task, the effectiveness of passage re-ranking improves on par with monot5-3B models. | |
| Hence, you can try to do both the task with this checkpoint by the following input format: | |
| - P2Q: Document: *\<here is a document or a passage\>* Translate Document to Query: | |
| - Rank: Query: *\<here is a query\>* Document: *\<here is a document or a passage\>* Relevant: | |
| which the outputs will be like: | |
| - P2Q: *\<relevant query of the given text\>* | |
| - Rank: *true* or *false* | |
| ``` | |
| Note that we usually use the logit values of *true*/ *false* token from T5 reranker as our query-passage relevant scores | |
| Note the above tokens are all case-sensitive. | |
| ``` |