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CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation
Paper • 2609.04083 • Published • 24 -
Alibaba-NLP/core-emb-2b
Feature Extraction • Updated • 113 • 3 -
Alibaba-NLP/core-reranker-2b
Feature Extraction • 2B • Updated • 139 • 2 -
Alibaba-NLP/core-emb-8b
Feature Extraction • Updated • 75 • 1
Tingyu Song
songtingyu
AI & ML interests
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Recent Activity
upvoted a paper 6 days ago
EviScene: Beyond "Is It AI?" for Agentic Image Factuality Assessment upvoted a paper 27 days ago
Ovis-Embedding: Pushing the Frontiers of Universal Omni-Modal Embeddings updated a collection about 1 month ago
CORE-EMBOrganizations
Datasets and Models for the LimRank paper.
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CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation
Paper • 2609.04083 • Published • 24 -
Alibaba-NLP/core-emb-2b
Feature Extraction • Updated • 113 • 3 -
Alibaba-NLP/core-reranker-2b
Feature Extraction • 2B • Updated • 139 • 2 -
Alibaba-NLP/core-emb-8b
Feature Extraction • Updated • 75 • 1
Datasets and Models for the LimRank paper.
Composed Image Retrieval Benchmark via Image Editing.