Sumit on Mythryl: “State Space Models are Strong Text Rerankers Shows Mamba-based…”

State Space Models are Strong Text Rerankers Shows Mamba-based models achieve comparable reranking performance to transformers while being more memory efficient, with Mamba-2 outperforming Mamba-1. 📝 arxiv.org/abs/2412.14354

arxiv.orgState Space Models are Strong Text RerankersTransformers dominate NLP and IR; but their inference inefficiencies and challenges in extrapolating to longer contexts have sparked interest in alternative model architectures. Among these, state spa...

20/12/24, 5:13 am1 repost4 likes

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