Multimodal Retrieval Comparison Hub
3 papers - avg viability 5.7
Top Papers
- Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment(7.0)
CIEA enhances multimodal retrieval by effectively capturing complementary information in documents.
- MultiHaystack: Benchmarking Multimodal Retrieval and Reasoning over 40K Images, Videos, and Documents(7.0)
Benchmark dataset and evaluation suite for multimodal retrieval and reasoning, highlighting the bottleneck in current MLLMs and providing a testbed for retrieval-centric advances.
- Evo-Retriever: LLM-Guided Curriculum Evolution with Viewpoint-Pathway Collaboration for Multimodal Document Retrieval(3.0)
Evo-Retriever enhances multimodal document retrieval through LLM-guided curriculum evolution and viewpoint-pathway collaboration.