Papers with multimodal retrieval systems
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline (2024.emnlp-industry)
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| Challenge: | Recent advances in text-video retrieval neglect the crucial user perspective, leading to discrepancies between user queries and content retrieved. |
| Approach: | They propose a novel, training-free pipeline that leverages Large Language Models for iterative feedback learning. |
| Outcome: | Experimental results show that MERLIN significantly outperforms existing systems in video retrieval. |
M3Retrieve: Benchmarking Multimodal Retrieval for Medicine (2025.emnlp-main)
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| Challenge: | Strong retrieval models are increasingly important in knowledge-intensive domains. |
| Approach: | They propose a benchmark to evaluate multimodal retrieval models in medical settings . they examine 1.2 million text documents and 164K multimodal queries . |
| Outcome: | The proposed model spans 5 domains,16 medical fields, and 4 distinct tasks with over 1.2 Million text documents and 164K multimodal queries. |