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ConvMemory v2 is a recall-preserving reranker that reorders the top-10 candidates from ConvMemory v1 using a fine-tuned cross-encoder, improving MRR on the LoCoMo benchmark while preserving recall.
Mixedbread's reranker achieves GPT 5.5-level performance on OBLIQ-bench while being 27x faster, according to early results.
Early results from testing search on a subsampled OBLIQ-bench show that Mixedbread's reranker achieves strong MRR, sometimes outperforming GPT 5.5 on certain metrics with faster speed, though the benchmark remains challenging.
Introducing the Ettin Reranker family: six new state-of-the-art CrossEncoder rerankers at various sizes, built on ModernBERT encoders, with open-source data and training recipe.