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CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation
Paper β’ 2609.04083 β’ Published β’ 26 -
Alibaba-NLP/core-reranker-8b
Feature Extraction β’ 9B β’ Updated β’ 77 β’ 1 -
Alibaba-NLP/core-reranker-2b
Feature Extraction β’ 2B β’ Updated β’ 125 β’ 2 -
Alibaba-NLP/core-emb-2b
Feature Extraction β’ Updated β’ 122 β’ 3
Alibaba-NLP
company
AI & ML interests
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Recent Activity
Papers
CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation
UEmbed: Unified Sparse and Dense Multimodal Embeddings
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UEmbed-2B Dense + Sparse Retrieval
πDense vs sparse multimodal retrieval with UEmbed-2B
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Alibaba-NLP/UEmbed-9B
Feature Extraction β’ 8B β’ Updated β’ 596 β’ 13 -
Alibaba-NLP/UEmbed-2B
Feature Extraction β’ 2B β’ Updated β’ 687 β’ 9 -
Alibaba-NLP/UEmbed-4B
Feature Extraction β’ 5B β’ Updated β’ 126 β’ 8
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CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation
Paper β’ 2609.04083 β’ Published β’ 26 -
Alibaba-NLP/core-reranker-8b
Feature Extraction β’ 9B β’ Updated β’ 77 β’ 1 -
Alibaba-NLP/core-reranker-2b
Feature Extraction β’ 2B β’ Updated β’ 125 β’ 2 -
Alibaba-NLP/core-emb-2b
Feature Extraction β’ Updated β’ 122 β’ 3
-
UEmbed-2B Dense + Sparse Retrieval
πDense vs sparse multimodal retrieval with UEmbed-2B
-
Alibaba-NLP/UEmbed-9B
Feature Extraction β’ 8B β’ Updated β’ 596 β’ 13 -
Alibaba-NLP/UEmbed-2B
Feature Extraction β’ 2B β’ Updated β’ 687 β’ 9 -
Alibaba-NLP/UEmbed-4B
Feature Extraction β’ 5B β’ Updated β’ 126 β’ 8
models 74
Alibaba-NLP/core-reranker-8b
Feature Extraction β’ 9B β’ Updated β’ 77 β’ 1
Alibaba-NLP/core-reranker-2b
Feature Extraction β’ 2B β’ Updated β’ 125 β’ 2
Alibaba-NLP/core-emb-2b
Feature Extraction β’ Updated β’ 122 β’ 3
Alibaba-NLP/core-emb-8b
Feature Extraction β’ Updated β’ 52 β’ 1
Alibaba-NLP/UEmbed-4B
Feature Extraction β’ 5B β’ Updated β’ 126 β’ 8
Alibaba-NLP/UEmbed-2B
Feature Extraction β’ 2B β’ Updated β’ 687 β’ 9
Alibaba-NLP/UEmbed-9B
Feature Extraction β’ 8B β’ Updated β’ 596 β’ 13
Alibaba-NLP/LaSER-Qwen3-8B
Feature Extraction β’ 8B β’ Updated β’ 344 β’ 6
Alibaba-NLP/LaSER-Qwen3-4B
Feature Extraction β’ 4B β’ Updated β’ 123 β’ 3
Alibaba-NLP/LaSER-Qwen3-0.6B
Feature Extraction β’ 0.6B β’ Updated β’ 869 β’ 6
datasets 11
Alibaba-NLP/SecRespond
Updated β’ 321 β’ 2
Alibaba-NLP/xvbench
Viewer β’ Updated β’ 497 β’ 44
Alibaba-NLP/Open-DeepResearch
Preview β’ Updated β’ 143 β’ 6
Alibaba-NLP/Open-Travel
Preview β’ Updated β’ 88 β’ 4
Alibaba-NLP/EcomBench
Viewer β’ Updated β’ 100 β’ 278 β’ 6
Alibaba-NLP/UVRB
Updated β’ 767 β’ 6
Alibaba-NLP/E2Rank_ranking_datasets
Viewer β’ Updated β’ 156k β’ 72 β’ 4
Alibaba-NLP/WebShaper
Viewer β’ Updated β’ 500 β’ 436 β’ 26
Alibaba-NLP/SimulationTuning_wiki_dataset
Viewer β’ Updated β’ 27.9k β’ 33 β’ 2
Alibaba-NLP/SimulationTuning_google_dataset
Viewer β’ Updated β’ 27.4k β’ 64 β’ 3