Douyin Multimodal Embedding Model Technical Report | Paper Citation Record

Observation a2e5e9e8-61c0-43a6-98d1-7cc14b3bdca6 · outbound

This paper cites MM-BRIGHT: A multi-task multi- modal benchmark for reasoning-intensive retrieval.

Douyin Multimodal Embedding Model Technical Report MM-BRIGHT: A multi-task multi- modal benchmark for reasoning-intensive retrieval

Reference 1

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Observation fc3fb8a4-21ac-412c-a3cf-6d4da7f5ac17 · outbound

This paper cites Qwen3-VL Technical Report.

Douyin Multimodal Embedding Model Technical Report Qwen3-VL Technical Report

Reference 2

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Observation 96df572d-21e8-47e7-bc54-94212b28b887 · outbound

This paper cites Qwen2.5-VL Technical Report.

Douyin Multimodal Embedding Model Technical Report Qwen2.5-VL Technical Report

Reference 3

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Observation 0b4c2db2-9c79-4ee4-9940-d95b6c443b77 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Douyin Multimodal Embedding Model Technical Report MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 4

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Observation 85b14d83-a5c7-42a3-9a20-f78bf9a558f8 · outbound

This paper cites Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts.

Douyin Multimodal Embedding Model Technical Report Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts

Reference 5

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Observation 11f79045-c8b6-4206-abe6-85a6fec169ce · outbound

This paper cites mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data.

Douyin Multimodal Embedding Model Technical Report mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data

Reference 6

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Observation 0af506fd-4c66-4879-8ffe-f2479e6095b2 · outbound

This paper cites Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning.

Douyin Multimodal Embedding Model Technical Report Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning

Reference 7

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Observation a86328f1-2546-442f-a1ca-7ba0a6cb5891 · outbound

This paper cites Pailitao-vl: Unified embedding and reranker for real-time multi-modal industrial search.

Douyin Multimodal Embedding Model Technical Report Pailitao-vl: Unified embedding and reranker for real-time multi-modal industrial search

Reference 8

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Observation 849f28f3-18a2-41fb-8b6c-0cb0122d1ba1 · outbound

This paper cites Think then embed: Generative context improves multimodal embedding.

Douyin Multimodal Embedding Model Technical Report Think then embed: Generative context improves multimodal embedding

Reference 9

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Observation f2cb43c9-2299-45cb-85f2-0f2d38b52e32 · outbound

This paper cites Reason to contrast: A cascaded multimodal retrieval frame- work.

Douyin Multimodal Embedding Model Technical Report Reason to contrast: A cascaded multimodal retrieval frame- work

Reference 10

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Observation e36ef377-1a59-40d3-9b63-21bd4ca3a351 · outbound

This paper cites DeepSeek-V3 Technical Report.

Douyin Multimodal Embedding Model Technical Report DeepSeek-V3 Technical Report

Reference 11

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Observation 5e1436e8-7f6f-4dc9-95a0-5ec1c7967912 · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding.

Douyin Multimodal Embedding Model Technical Report BERT: pre-training of deep bidirectional transformers for language understanding

Reference 12

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Observation 438feb2a-a326-4c9a-bc53-e245f79a0747 · outbound

This paper cites Colpali: Ef- ficient document retrieval with vision language models.

Douyin Multimodal Embedding Model Technical Report Colpali: Ef- ficient document retrieval with vision language models

Reference 13

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Observation d03f02ab-4723-40e2-9a9d-c9f032bd0d67 · outbound

This paper cites Moon embedding: Multimodal representation learning for e-commerce search advertising.

Douyin Multimodal Embedding Model Technical Report Moon embedding: Multimodal representation learning for e-commerce search advertising

Reference 14

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Observation 9ad0eda1-7b2d-4bbb-a92c-55ac06f81fe2 · outbound

This paper cites Better & faster large lan- guage models via multi-token prediction.

Douyin Multimodal Embedding Model Technical Report Better & faster large lan- guage models via multi-token prediction

Reference 15

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Observation dab86b88-26af-422d-8886-fb2e9e26e58a · outbound

This paper cites Breaking the modality barrier: Universal embedding learning with multimodal llms.

Douyin Multimodal Embedding Model Technical Report Breaking the modality barrier: Universal embedding learning with multimodal llms

Reference 16

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Observation a829538a-267a-4c6e-b0b1-6ec0ae92535b · outbound

This paper cites TRACE: task-adaptive reasoning and representation learning for universal multimodal retrieval.

Douyin Multimodal Embedding Model Technical Report TRACE: task-adaptive reasoning and representation learning for universal multimodal retrieval

Reference 17

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Observation 1521658b-b409-4f48-a946-67df0f620d25 · outbound

This paper cites Girshick.

Douyin Multimodal Embedding Model Technical Report Girshick

Reference 18

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Observation 3327ab27-7382-49e3-8de4-8e88857010e2 · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Douyin Multimodal Embedding Model Technical Report Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 19

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Observation 184c8b13-5186-4910-8241-39e4f4bbe325 · outbound

This paper cites Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig.

Douyin Multimodal Embedding Model Technical Report Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig

Reference 20

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Observation 33170702-71d0-4368-8c51-87e3a6f11aa5 · outbound

This paper cites Rzenembed: Towards compre- hensive multimodal retrieval.

Douyin Multimodal Embedding Model Technical Report Rzenembed: Towards compre- hensive multimodal retrieval

Reference 21

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Observation 230d272f-3ada-4480-8aff-8c0fb027a15b · outbound

This paper cites Embed-rl: Rein- forcement learning for reasoning-driven multimodal embeddings.

Douyin Multimodal Embedding Model Technical Report Embed-rl: Rein- forcement learning for reasoning-driven multimodal embeddings

Reference 22

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Observation 4531ad9b-0111-416c-8436-b85193d4f8ce · outbound

This paper cites E5-V: Universal Embeddings with Multimodal Large Language Models.

Douyin Multimodal Embedding Model Technical Report E5-V: Universal Embeddings with Multimodal Large Language Models

Reference 23

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Observation 58fd9dc8-9f37-4cfb-9583-827b019baf34 · outbound

This paper cites VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks.

Douyin Multimodal Embedding Model Technical Report VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks

Reference 24

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This paper cites Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension.

Douyin Multimodal Embedding Model Technical Report Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension

Reference 25

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This paper cites Natural questions: a benchmark for question answering research.

Douyin Multimodal Embedding Model Technical Report Natural questions: a benchmark for question answering research

Reference 26

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This paper cites UME-R1: exploring reasoning-driven generative multi- modal embeddings.

Douyin Multimodal Embedding Model Technical Report UME-R1: exploring reasoning-driven generative multi- modal embeddings

Reference 27

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Douyin Multimodal Embedding Model Technical Report Unresolved cited work

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Douyin Multimodal Embedding Model Technical Report Unresolved cited work

Reference 29

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This paper cites Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking.

Douyin Multimodal Embedding Model Technical Report Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking

Reference 30

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Observation c6a8e831-3d0a-477b-8325-341ecf6e4dbf · outbound

This paper cites U-marvel: Unveiling key factors for universal multimodal retrieval via embedding learning with mllms.

Douyin Multimodal Embedding Model Technical Report U-marvel: Unveiling key factors for universal multimodal retrieval via embedding learning with mllms

Reference 31

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Observation c0a083fd-8d3d-45be-9891-9fdeedfb063f · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Douyin Multimodal Embedding Model Technical Report Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 32

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Observation 4b86fb3e-564f-451b-9d28-6d192f3723bd · outbound

This paper cites Sail-embedding technical report: Omni-modal embedding foundation model.

Douyin Multimodal Embedding Model Technical Report Sail-embedding technical report: Omni-modal embedding foundation model

Reference 33

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This paper cites CREM: compression-driven representation enhancement for multimodal retrieval and comprehension.

Douyin Multimodal Embedding Model Technical Report CREM: compression-driven representation enhancement for multimodal retrieval and comprehension

Reference 34

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This paper cites Vlm2vec-v2: Advancing multimodal embedding for videos, images, and visual documents.

Douyin Multimodal Embedding Model Technical Report Vlm2vec-v2: Advancing multimodal embedding for videos, images, and visual documents

Reference 35

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Douyin Multimodal Embedding Model Technical Report Unresolved cited work

Reference 36

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This paper cites Through the lens of contrast: Self-improving visual reasoning in vlms.

Douyin Multimodal Embedding Model Technical Report Through the lens of contrast: Self-improving visual reasoning in vlms

Reference 37

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This paper cites Qwen3.5: Towards native multimodal agents.https://qwen.ai/blog?id=qwen3.5, February 2026.

Douyin Multimodal Embedding Model Technical Report Qwen3.5: Towards native multimodal agents.https://qwen.ai/blog?id=qwen3.5, February 2026

Reference 38

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Observation 1937773d-68b3-4527-8bb1-3d6f07b7ddee · outbound

This paper cites Learning transferable visual models from natural language supervision.

Douyin Multimodal Embedding Model Technical Report Learning transferable visual models from natural language supervision

Reference 39

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Observation 2e43dc25-79ce-4c9d-9d2f-343232dc8528 · outbound

This paper cites Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity.

Douyin Multimodal Embedding Model Technical Report Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity

Reference 40

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This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Douyin Multimodal Embedding Model Technical Report SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 41

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This paper cites Representation Learning with Contrastive Predictive Coding.

Douyin Multimodal Embedding Model Technical Report Representation Learning with Contrastive Predictive Coding

Reference 42

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Observation 963540b2-0ba0-4b71-b623-cc0377cfd685 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Douyin Multimodal Embedding Model Technical Report Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 43

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Observation c152b24a-261f-45f8-b905-2756a741643a · outbound

This paper cites Explore more, learn better: Parallel mllm embeddings under mutual information minimization.

Douyin Multimodal Embedding Model Technical Report Explore more, learn better: Parallel mllm embeddings under mutual information minimization

Reference 44

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Douyin Multimodal Embedding Model Technical Report Unresolved cited work

Reference 45

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This paper cites Deepseek-v4: Towards highly efficient million-token context intelligence.

Douyin Multimodal Embedding Model Technical Report Deepseek-v4: Towards highly efficient million-token context intelligence

Reference 46

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This paper cites Llava-cot: Let vision language models reason step-by-step.

Douyin Multimodal Embedding Model Technical Report Llava-cot: Let vision language models reason step-by-step

Reference 47

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This paper cites R1-onevision: Advancing generalized multimodal reasoning through cross-modal formalization.

Douyin Multimodal Embedding Model Technical Report R1-onevision: Advancing generalized multimodal reasoning through cross-modal formalization

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Observation a8a00674-792e-41a9-b08c-9da1eb6e3369 · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering.

Douyin Multimodal Embedding Model Technical Report Hotpotqa: A dataset for diverse, explainable multi-hop question answering

Reference 49

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Observation fc80b92a-2336-4626-a085-3f4dacb94b2f · outbound

This paper cites Coca: Contrastive captioners are image-text foundation models.

Douyin Multimodal Embedding Model Technical Report Coca: Contrastive captioners are image-text foundation models

Reference 50

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Observation f55123d4-c725-46d2-9c3a-173ca6bcd270 · outbound

This paper cites Visrag: Vision-based retrieval-augmented generation on multi-modality documents.

Douyin Multimodal Embedding Model Technical Report Visrag: Vision-based retrieval-augmented generation on multi-modality documents

Reference 51

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This paper cites Sigmoid loss for language image pre-training.

Douyin Multimodal Embedding Model Technical Report Sigmoid loss for language image pre-training

Reference 52

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This paper cites Gme: Improving universal multimodal retrieval by multimodal llms, 2024.

Douyin Multimodal Embedding Model Technical Report Gme: Improving universal multimodal retrieval by multimodal llms, 2024

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Observation 15a46726-0c66-4a5d-9228-7a9374ac55da · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

Douyin Multimodal Embedding Model Technical Report Multimodal Chain-of-Thought Reasoning in Language Models

Reference 54

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This paper cites MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval.

Douyin Multimodal Embedding Model Technical Report MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval

Reference 55

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