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CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation
Paper • 2609.04083 • Published • 24 -
Alibaba-NLP/core-reranker-8b
Feature Extraction • 9B • Updated • 93 • 1 -
Alibaba-NLP/core-reranker-2b
Feature Extraction • 2B • Updated • 133 • 2 -
Alibaba-NLP/core-emb-2b
Feature Extraction • Updated • 104 • 3
Alibaba-NLP
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Papers
CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation
UEmbed: Unified Sparse and Dense Multimodal Embeddings
Scaling RL for Open-Ended Agents via Tournamentbased Relative Ranking
Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
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Alibaba-NLP/E2Rank-0.6B
Feature Extraction • 0.6B • Updated • 177 • 14 -
Alibaba-NLP/E2Rank-4B
Feature Extraction • 4B • Updated • 106 • 3 -
Alibaba-NLP/E2Rank-8B
Feature Extraction • 8B • Updated • 482 • 5 -
E^2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
Paper • 2510.22733 • Published • 33
GTE Models Based on ModernBERT
General Text Embedding Models Released by Tongyi Lab of Alibaba Group
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Alibaba-NLP/gte-Qwen2-7B-instruct
Sentence Similarity • 8B • Updated • 71.6k • 482 -
Alibaba-NLP/gte-Qwen2-1.5B-instruct
Sentence Similarity • 2B • Updated • 255k • 240 -
Alibaba-NLP/gte-multilingual-base
Sentence Similarity • 0.3B • Updated • 1.01M • 390 -
Alibaba-NLP/gte-multilingual-reranker-base
Text Ranking • 0.3B • Updated • 57.7k • 195
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Qiuchen-Wang/Qwen2.5-VL-7B-VRAG
Image-Text-to-Text • 8B • Updated • 117 • 16 -
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
Paper • 2502.18017 • Published • 21 -
VimRAG: Navigating Massive Visual Context in Retrieval-Augmented Generation via Multimodal Memory Graph
Paper • 2602.12735 • Published • 9 -
VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning
Paper • 2505.22019 • Published • 12
Towards General Video Embeddings: Models and Benchmarks
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Alibaba-NLP/GVE-3B
Sentence Similarity • 4B • Updated • 346 • 18 -
Alibaba-NLP/GVE-7B
Sentence Similarity • 8B • Updated • 144 • 19 -
Alibaba-NLP/UVRB
Updated • 1.27k • 6 -
Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum
Paper • 2510.27571 • Published • 20
A highly effective and efficient pointwise reranker built from a reasoning LLM, which excels across diverse relevance scenarios with low latency
General Multimodal Embedding Models Released by Tongyi Lab of Alibaba Group
-
CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation
Paper • 2609.04083 • Published • 24 -
Alibaba-NLP/core-reranker-8b
Feature Extraction • 9B • Updated • 93 • 1 -
Alibaba-NLP/core-reranker-2b
Feature Extraction • 2B • Updated • 133 • 2 -
Alibaba-NLP/core-emb-2b
Feature Extraction • Updated • 104 • 3
-
Qiuchen-Wang/Qwen2.5-VL-7B-VRAG
Image-Text-to-Text • 8B • Updated • 117 • 16 -
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
Paper • 2502.18017 • Published • 21 -
VimRAG: Navigating Massive Visual Context in Retrieval-Augmented Generation via Multimodal Memory Graph
Paper • 2602.12735 • Published • 9 -
VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning
Paper • 2505.22019 • Published • 12
Scaling RL for Open-Ended Agents via Tournamentbased Relative Ranking
Towards General Video Embeddings: Models and Benchmarks
-
Alibaba-NLP/GVE-3B
Sentence Similarity • 4B • Updated • 346 • 18 -
Alibaba-NLP/GVE-7B
Sentence Similarity • 8B • Updated • 144 • 19 -
Alibaba-NLP/UVRB
Updated • 1.27k • 6 -
Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum
Paper • 2510.27571 • Published • 20
Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
-
Alibaba-NLP/E2Rank-0.6B
Feature Extraction • 0.6B • Updated • 177 • 14 -
Alibaba-NLP/E2Rank-4B
Feature Extraction • 4B • Updated • 106 • 3 -
Alibaba-NLP/E2Rank-8B
Feature Extraction • 8B • Updated • 482 • 5 -
E^2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
Paper • 2510.22733 • Published • 33
A highly effective and efficient pointwise reranker built from a reasoning LLM, which excels across diverse relevance scenarios with low latency
GTE Models Based on ModernBERT
General Multimodal Embedding Models Released by Tongyi Lab of Alibaba Group
General Text Embedding Models Released by Tongyi Lab of Alibaba Group
-
Alibaba-NLP/gte-Qwen2-7B-instruct
Sentence Similarity • 8B • Updated • 71.6k • 482 -
Alibaba-NLP/gte-Qwen2-1.5B-instruct
Sentence Similarity • 2B • Updated • 255k • 240 -
Alibaba-NLP/gte-multilingual-base
Sentence Similarity • 0.3B • Updated • 1.01M • 390 -
Alibaba-NLP/gte-multilingual-reranker-base
Text Ranking • 0.3B • Updated • 57.7k • 195