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A model and package for German ColBERT

arXiv 2504.20083 ↗First posted 25 Apr 2025cs.IR cs.AIcited by 0

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Abstract (arXiv)

In this work, we introduce a German version for ColBERT, a late interaction multi-dense vector retrieval method, with a focus on RAG applications. We also present the main features of our package for ColBERT models, supporting both retrieval and fine-tuning workflows.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 13 references that are in the map. First posted on arXiv 25 Apr 2025.

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References · 8

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2016MS MARCO: A Human Generated MAchine Reading COmprehension Datasetcited by 1,605
  3. 2016Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphscited by 861
  4. 2021ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interactioncited by 476
  5. 2019Facebook FAIR's WMT19 News Translation Task Submissioncited by 179
  6. 2022Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languagescited by 47
  7. 2024Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retrievercited by 25
  8. 2019ANTIQUE: A Non-Factoid Question Answering Benchmarkcited by 24

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  1. 2026Visual RAG Toolkit: Scaling Multi-Vector Visual Retrieval with Training-Free Pooling and Multi-Stage Search
  2. 2026Nemotron ColEmbed V2: Top-Performing Late Interaction Embedding Models for Visual Document Retrieval
  3. 2024Vector Retrieval with Similarity and Diversity: How Hard Is It?
  4. 2026Evaluating Modern RAG: Textual, Multimodal, Dense, and Late Interaction Pipelines
  5. 2026ColBERTSaR: Sparsified ColBERT Index via Product Quantization
  6. 2025Cross-modal RAG: Sub-dimensional Text-to-Image Retrieval-Augmented Generation
  7. 2024R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation
  8. 2026Col-Bandit: Query-Time Top-K Estimation for Late-Interaction Retrieval