Text Retrieval
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Benchmarks
MTEB
20 Newsgroups
Image-Chat
Reuters-21578
CLIMATE-FEVER
DBpedia
FEVER
HotpotQA
MS MARCO
NFCorpus
Natural Questions
Quora Question Pairs
RSICD
SciDocs
SciFact
TREC-COVID
Most implemented
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
UNITER: UNiversal Image-TExt Representation Learning
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
FlexiViT: One Model for All Patch Sizes
Papers
Omni-Embed-Mini: Binding Modalities Without Forgetting via Dense Distillation
Extending a text embedding model to new modalities typically degrades text retrieval quality, and existing omni-modal embedders compensate with multi-billion parameters. We present Omni-Embed-Mini, a 0.9B-parameter model…
Text RetrievalJust MLPs: Efficient Visual State Reconstruction for Multimodal Language Models
Long visual token sequences often account for a substantial fraction of the computational overhead in multimodal large language models~(MLLMs). Existing approaches reduce this cost by pruning redundant visual tokens, but…
Text RetrievalRetrieval Heads Meet Vision: Uncovering How VLMs Locate and Extract Visual Information
Vision-language models (VLMs) can locate an image region referred to by a text prompt and route the corresponding visual evidence to the output, yet the internal mechanism behind this behavior is not understood. Inspired…
Text RetrievalMLLMCLIP: Feature-Level Distillation of MLLM for Robust Vision-Language Representations
Pretrained vision-language models such as CLIP excel at zero-shot recognition but often fail at compositionality, particularly attribute-object and relational structures. Recent studies mitigate this issue by augmenting …
Text RetrievalLAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training
We present LAION-BVD, a large-scale open video dataset for multimodal learning, which contains 1.3B platform-specific video URLs collected from CommonCrawl. From these, we download 80M videos with a total duration of 10 …
Text RetrievalConceptFormer: Learning Adaptive Latent Concepts for Query-Document Alignment in Visual Document Retrieval
Visual document retrieval is a critical component of multimodal retrieval-augmented generation, aiming to identify query-relevant pages from document collections where evidence is distributed across text, layout, charts,…
Representation LearningText Retrieval