Papers by Amir Ingber
SDR: Efficient Neural Re-ranking using Succinct Document Representation (2022.acl-long)
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| Challenge: | BERT based ranking models have been successful on various information retrieval tasks, but they are prone to storage and network fetching latency. |
| Approach: | They propose a late-interaction architecture that allows pre-computation of intermediate document representations, thus reducing latency. |
| Outcome: | The proposed model achieves 4x–11.6x higher compression rates on the MSMARCO passage re-reranking task compared to existing methods. |