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@@ -225,4 +225,8 @@ Interestingly, 33 million param `answerai-colbert-small-v1` is winning. Also, co
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  * [**ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction**](https://arxiv.org/abs/2112.01488) (NAACL'22).
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  * [**PLAID: An Efficient Engine for Late Interaction Retrieval**](https://arxiv.org/abs/2205.09707) (CIKM'22).
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- TODO : Add Jina Papers, Answer AI papers
 
 
 
 
 
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  * [**ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction**](https://arxiv.org/abs/2112.01488) (NAACL'22).
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  * [**PLAID: An Efficient Engine for Late Interaction Retrieval**](https://arxiv.org/abs/2205.09707) (CIKM'22).
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+ ## Future Work
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+ - Push a clean codebase to replicate re-ranker benchmarks on MIRAGE (current one is a disaster).
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+ - Train on : https://huggingface.co/datasets/sebastian-hofstaetter/tripclick-training
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+ - Train with Knowledge-Distillation with in ColBERTv2 style
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+ - Add relavant Jina Papers, Answer AI papers in refernces