SOTAVerified

Text Retrieval

Text Retrieval is the task of finding the most text result (such as an answer, paragraph, or passage) given a query (which could be a question, keywords, or any relevant text)

Papers

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Showing 331–340 of 671 papers

TitleStatusHype
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language ModelsCode1
FuseCap: Leveraging Large Language Models for Enriched Fused Image CaptionsCode1
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language TransformersCode1
Integrating Listwise Ranking into Pairwise-based Image-Text RetrievalCode0
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest NeighborsCode0
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional ExpertsCode0
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist CaptionsCode1
When the Music Stops: Tip-of-the-Tongue Retrieval for MusicCode0
i-Code Studio: A Configurable and Composable Framework for Integrative AI—0
VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending—0
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