ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval (2025.emnlp-industry)
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Ahmed Masry, Megh Thakkar, Patrice Bechard, Sathwik Tejaswi Madhusudhan, Rabiul Awal, Shambhavi Mishra, Akshay Kalkunte Suresh, Srivatsava Daruru, Enamul Hoque, Spandana Gella, Torsten Scholak, Sai Rajeswar
| Challenge: | Existing methods for multimodal document retrieval often replicate techniques developed for text-only retrieval. |
| Approach: | They propose a document retrieval model that bridges the gap between multimodal representation learning and document retrievals by providing external knowledge as context. |
| Outcome: | The proposed model achieves 3.61% improvement over existing retrieval models on the ViDoRe V2 benchmark, showing stronger generalization to out-of-domain benchmarks. |
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Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval (2023.acl-long)
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