arXiv Computation and Language August 28, 2026 By Furkan Yilmaz, Habibe Aleyna Tasdemir, Muhammed Faruk Gozay

MoganColBERT-TR: A Late-Interaction Multi-Vector Retrieval Model for Turkish

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MoganColBERT-TR is a Turkish multi‑vector retrieval model that projects token embeddings from 768 to 128 dimensions and uses MaxSim late interaction for scoring. It builds on the previously trained MoganBERT‑TR encoder, adapting it to the ColBERT objective with a single‑epoch distillation phase using cross‑encoder teacher scores. Evaluated on five Turkish BEIR datasets in a zero‑shot setting, it achieves an overall score of 37.36, outperforming larger models on most datasets.

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