Argus achieves the highest reported NDCG scores among open late-interaction models on ViDoRe V1 and combined V1+V2 by introducing query-dependent document representations via a region-aware MoE on Qwen3.5-VL, trained on 9% of public data with a 1024-dim head.
Leveraging Cognitive Complexity of Texts for Contextualization in Dense Retrieval
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Argus-Retriever: Vision-LLM Late-Interaction Retrieval with Region-Aware Query-Conditioned MoE for Visual Document Retrieval
Argus achieves the highest reported NDCG scores among open late-interaction models on ViDoRe V1 and combined V1+V2 by introducing query-dependent document representations via a region-aware MoE on Qwen3.5-VL, trained on 9% of public data with a 1024-dim head.