2 papers
cs.IR2026
jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation
Christina Nasika, Feng Wang, Antonis Krasakis +1
Listwise rerankers are the discriminative core of agentic retrieval pipelines, yet production deployment demands efficiency, domain robustness, and fluency on semi-structured data…
cs.CL2025
jina-reranker-v3: Last but Not Late Interaction for Listwise Document Reranking
Feng Wang, Yuqing Li, Han Xiao
jina-reranker-v3 is a 0.6B-parameter multilingual listwise reranker that introduces a novel "last but not late" interaction. Unlike late interaction models like ColBERT that encode…