Granite Embedding Multilingual R2 Models

By Parul Awasthy, Aashka Trivedi, Yu-Shu Yang, Ken Barker, Yu-Long Li, B. Iyer, Martin Franz, Jürgen Broß, Meet Doshi, P. Vignesh and 7 more. 2026

Subfields: Information Retrieval & Search, Natural Language Processing, Representation & Self-Supervised Learning

Citations in the corpus

• DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search (2026, unknown): “…Qwen3-Embedding (Zhang et al., 2025), Jina v5 text (Akram et al., 2026), Embed-dingGemma (Vera et al., 2025), Voyage 4 (Voyage AI, 2026), Harrier (Huang et al., 2026), Granite Multilingual R2 (Awasthy et al., 2026), and pplx-embed (Eslami et al., 2026), show rapid progress across these settings.”