UEmbed: Unified Sparse and Dense Multimodal Embeddings | Paper Citation Record

Observation b01c1d4b-1f5f-44d1-a69c-f483871cc95b · outbound

This paper cites Qwen2.5-VL Technical Report.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Qwen2.5-VL Technical Report

Reference 1

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Observation b23b63e9-f658-4bac-985f-62dbde2e8f45 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 2

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Observation 80b010c1-d5b3-4565-a721-5b10d15f0b68 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Gemini: A Family of Highly Capable Multimodal Models

Reference 3

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Observation beb68027-5581-41e8-8be6-ebc3f64c2fe8 · outbound

This paper cites Gemini-2.0 , url =.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Gemini-2.0 , url =

Reference 4

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Observation 322747f8-8354-47eb-90e9-3cdf52a76e53 · outbound

This paper cites 2024 , eprint=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings 2024 , eprint=

Reference 5

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Observation d93be13d-477a-4ae1-9dd1-eb4214c4a151 · outbound

This paper cites OpenAI GPT-5 System Card.

UEmbed: Unified Sparse and Dense Multimodal Embeddings OpenAI GPT-5 System Card

Reference 6

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Observation 0d76be4b-4b71-456c-9ac9-f55108328ef4 · outbound

This paper cites Qwen3-VL Technical Report.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Qwen3-VL Technical Report

Reference 7

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Observation aba5006a-92a3-4d94-bd04-e5db37ddf610 · outbound

This paper cites 2009 , publisher=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings 2009 , publisher=

Reference 8

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Observation 7fcd639a-a351-45f3-b20d-94e299fb7fb5 · outbound

This paper cites SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking , year =.

UEmbed: Unified Sparse and Dense Multimodal Embeddings SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking , year =

Reference 9

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Observation 5ff339a3-6a3f-4227-8a02-668413527904 · outbound

This paper cites SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval.

UEmbed: Unified Sparse and Dense Multimodal Embeddings SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval

Reference 10

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Observation 79e3e8bd-e6ce-4635-aa6c-4cc09495ad17 · outbound

This paper cites From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective , year =.

UEmbed: Unified Sparse and Dense Multimodal Embeddings From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective , year =

Reference 11

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Observation e794e10c-fb9a-49f6-8e4d-8b062caa6375 · outbound

This paper cites SPLADE-v3: New baselines for SPLADE.

UEmbed: Unified Sparse and Dense Multimodal Embeddings SPLADE-v3: New baselines for SPLADE

Reference 12

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Observation 37ee768d-7788-4a33-90c4-092855519674 · outbound

This paper cites Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 13

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Observation cdc9e7a3-9bc0-4e20-b5d8-ed146e3a6636 · outbound

This paper cites Findings of the Association for Computational Linguistics: EACL 2024 , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Findings of the Association for Computational Linguistics: EACL 2024 , pages=

Reference 14

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Observation 328a6e73-b2f4-4a3a-aa61-5bb393b23c8d · outbound

This paper cites arXiv preprint arXiv:2603.13277 , year=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings arXiv preprint arXiv:2603.13277 , year=

Reference 15

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Observation 7db15754-7558-41a5-b5a0-3da92d045415 · outbound

This paper cites Findings of the association for computational linguistics: ACL 2024 , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Findings of the association for computational linguistics: ACL 2024 , pages=

Reference 16

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Observation 50784fde-32fd-433d-b283-84f65366836e · outbound

This paper cites arXiv preprint arXiv:2601.01684 , year=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings arXiv preprint arXiv:2601.01684 , year=

Reference 17

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Observation 83ffb7b0-770d-40ef-a1d2-2f7877430971 · outbound

This paper cites Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval , pages=

Reference 18

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Observation a82fee4b-0c81-4b1a-8cdb-cab852480563 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

UEmbed: Unified Sparse and Dense Multimodal Embeddings LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 19

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Observation b0d95e01-d41d-4be3-ad23-f34c5b85205a · outbound

This paper cites Mistral-SPLADE: LLMs for better Learned Sparse Retrieval.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Mistral-SPLADE: LLMs for better Learned Sparse Retrieval

Reference 20

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Observation bb5300ff-c754-47cb-98db-2fe716a94ace · outbound

This paper cites European Conference on Information Retrieval , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings European Conference on Information Retrieval , pages=

Reference 21

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Observation f03d3e2a-bae9-4c92-ba65-33b8dc1a6594 · outbound

This paper cites Proceedings of the 34th ACM International Conference on Information and Knowledge Management , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Proceedings of the 34th ACM International Conference on Information and Knowledge Management , pages=

Reference 22

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Observation f950cd86-3583-4aab-ae25-56901c44aa23 · outbound

This paper cites an unresolved cited work.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Unresolved cited work

Reference 23

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Observation efdab258-7aa3-4967-ac4a-3dc8d8960e30 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 24

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Observation 383230a9-2e78-4580-90c7-4e6faa1855e3 · outbound

This paper cites Advances in neural information processing systems , volume=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Advances in neural information processing systems , volume=

Reference 25

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Observation 54015a78-060a-4092-b1bf-57572dcffb41 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

UEmbed: Unified Sparse and Dense Multimodal Embeddings LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 26

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Observation f8af3b21-9eae-4107-88bc-eba251062b86 · outbound

This paper cites Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13 , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13 , pages=

Reference 27

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Observation 3ac1c712-6d42-4d6a-9e56-48c7be0c6f95 · outbound

This paper cites Proceedings of the IEEE international conference on computer vision , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Proceedings of the IEEE international conference on computer vision , pages=

Reference 28

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Observation 6e2e6ed8-e3d1-4c38-9626-605640ecf86d · outbound

This paper cites an unresolved cited work.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Unresolved cited work

Reference 29

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Observation 8a702b57-4668-439f-912a-e35143d72d2b · outbound

This paper cites International Conference on Learning Representations , volume=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings International Conference on Learning Representations , volume=

Reference 30

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Observation 1b360777-fac5-4b02-9607-3447fed712cd · outbound

This paper cites International Conference on Learning Representations , volume=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings International Conference on Learning Representations , volume=

Reference 31

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Observation 1421ea3d-b2a0-416f-bf73-4b67e90f5d4c · outbound

This paper cites 2025 , url=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings 2025 , url=

Reference 32

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Observation 72383cf4-b75d-4e7d-82ab-70054fc891ac · outbound

This paper cites 2025 , url=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings 2025 , url=

Reference 33

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Observation 4b27a94d-aa92-4634-b2c8-81fba53188f0 · outbound

This paper cites INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models.

UEmbed: Unified Sparse and Dense Multimodal Embeddings INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models

Reference 34

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Observation 38c7ab89-6931-4d82-b28f-1f6f57e09ace · outbound

This paper cites 2026 , eprint=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings 2026 , eprint=

Reference 35

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Observation f133c45b-0f73-4823-bb7b-d074950c3714 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=

Reference 36

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Observation 013c1251-0dbd-4d73-8e39-16a59dce50e5 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year=

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T04:19:05.230139Z

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Observation d00fde92-7401-4785-af80-4537cc3ed811 · outbound

This paper cites Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) , year=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) , year=

Reference 38

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Observation cc62c46b-1206-46aa-8d52-f424fcd53a02 · outbound

This paper cites Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics , pages=

Reference 39

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Observation dbe00272-0040-4c14-aaa7-c3622e76be5a · outbound

This paper cites ArXiv , year=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings ArXiv , year=

Reference 40

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Observation 5db074dc-bd51-4e70-bfba-08bf5ace1e0c · outbound

This paper cites Proceedings of the 33rd ACM International Conference on Multimedia , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Proceedings of the 33rd ACM International Conference on Multimedia , pages=

Reference 41

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Observation 3d96e54f-0fc2-435f-b48b-b22220bea24f · outbound

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UEmbed: Unified Sparse and Dense Multimodal Embeddings Unresolved cited work

Reference 42

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Observation e5766f71-407d-4ec2-a43c-687441b2875f · outbound

This paper cites arXiv preprint arXiv:2510.05014 , year=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings arXiv preprint arXiv:2510.05014 , year=

Reference 43

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Observation 87c58519-a358-4e8a-a35e-44df8b4540c3 · outbound

This paper cites an unresolved cited work.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Unresolved cited work

Reference 44

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Observation 26bdf20d-2748-470c-aafa-8ed8a12a3aab · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 45

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Observation 6ce270de-81db-4f9a-8d34-333b1b2d3e6a · outbound

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UEmbed: Unified Sparse and Dense Multimodal Embeddings arXiv preprint arXiv:2507.14902 , year=

Reference 46

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Observation 82e6c0e6-4790-4680-a76d-beee2366327d · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings The Thirteenth International Conference on Learning Representations , year=

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T04:19:06.806071Z

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Observation 8bee1823-70d8-4b50-a0f0-749ae245ac30 · outbound

This paper cites VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents.

UEmbed: Unified Sparse and Dense Multimodal Embeddings VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents

Reference 48

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Observation e20ec7fa-a5e4-49a5-8318-11cd57b85c1d · outbound

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UEmbed: Unified Sparse and Dense Multimodal Embeddings Unresolved cited work

Reference 49

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Observation 10bc919f-4bcc-4005-9a33-2bb45b9367ce · outbound

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UEmbed: Unified Sparse and Dense Multimodal Embeddings arXiv preprint arXiv:2510.27571 , year=

Reference 50

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Observation da127aef-5da0-49ec-b1f8-a19ccb7152c0 · outbound

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

UEmbed: Unified Sparse and Dense Multimodal Embeddings Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking

Reference 51

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UEmbed: Unified Sparse and Dense Multimodal Embeddings arXiv preprint arXiv:2510.27350 , year=

Reference 52

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UEmbed: Unified Sparse and Dense Multimodal Embeddings arXiv preprint arXiv:2602.13823 , year=

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T04:19:07.622303Z

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Observation e92f4674-ce18-464b-9af1-9ceefea1ed46 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2023 , pages=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Findings of the Association for Computational Linguistics: ACL 2023 , pages=

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T04:19:07.707646Z

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Observation 550e170d-c590-49c9-ab64-5dfa8ab8750d · outbound

This paper cites Improving Text Embeddings with Large Language Models.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Improving Text Embeddings with Large Language Models

Reference 55

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Observation f59ab6dc-9114-4b71-9702-e4485b31e1b0 · outbound

This paper cites Generative Representational Instruction Tuning.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Generative Representational Instruction Tuning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T04:19:08.011532Z

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Observation 0e17ad53-f814-4577-810b-2c6a9918b7e9 · outbound

This paper cites International Conference on Learning Representations , volume=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings International Conference on Learning Representations , volume=

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T04:19:08.091958Z

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Observation 7cb19990-fefa-477e-ac35-6730b4ec561c · outbound

This paper cites 2025 , url =.

UEmbed: Unified Sparse and Dense Multimodal Embeddings 2025 , url =

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T04:19:08.249375Z

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Observation 8d3b7478-14c4-483e-92f1-a6f5fbfbc7d8 · outbound

This paper cites Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T04:19:08.382915Z

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Observation 675fe655-1299-4f9a-bf1b-5673c32194cd · outbound

This paper cites Advances in neural information processing systems , volume=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings Advances in neural information processing systems , volume=

Reference 60

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UEmbed: Unified Sparse and Dense Multimodal Embeddings NLTK : The Natural Language Toolkit

Reference 61

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Observation 31aa7f4f-0a7e-4ab6-b4da-56a469f33518 · outbound

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UEmbed: Unified Sparse and Dense Multimodal Embeddings Minimizing FLOPs to Learn Efficient Sparse Representations

Reference 62

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Observation 26aaef36-ba78-4aed-b881-8a217a7ca1af · outbound

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UEmbed: Unified Sparse and Dense Multimodal Embeddings Revisiting Text Ranking in Deep Research

Reference 63

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This paper cites and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle=.

UEmbed: Unified Sparse and Dense Multimodal Embeddings and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle=

Reference 64

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Reference 65

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UEmbed: Unified Sparse and Dense Multimodal Embeddings Unresolved cited work

Reference 66

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