Paper Citation Record · LEDGER

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models

As of 20 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 2 inbound Pith citation observations for arXiv:2505.23830.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.23830 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:34.598158Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T22:38:30.674751Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-09T22:46:35.968689Z

Reference resolution

54 of 54 outbound references displayed

verified exact0
verified fuzzy15
unresolved39
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f624654a-f52d-469a-964a-c75488b69588 · outbound

This paper cites GPT-4 Technical Report.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation 80f93a88-5a40-42f0-9736-63f6216aea63 · outbound

This paper cites Qwen Technical Report.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Qwen Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:30.313951Z

Source-reported events for the cited work

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Observation d2bb179d-63bd-426f-8505-1ee13ecd59e6 · outbound

This paper cites Qwen2.5-VL Technical Report.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Qwen2.5-VL Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:30.359727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0949492e-850b-4757-a66f-5666ff7f2d6e · outbound

This paper cites Stable LM 2 1.6B Technical Report.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Stable LM 2 1.6B Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:30.438921Z

Source-reported events for the cited work

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Observation b3b95d16-be0c-475f-b3e1-849356fc518d · outbound

This paper cites ACM transactions on intelligent systems and technology 15(3), 1–45 (2024).

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models ACM transactions on intelligent systems and technology 15(3), 1–45 (2024)

Reference 5

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Source-reported events for the cited work

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Observation 3d839909-1c52-424c-b63b-662eb379e1fe · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:20:38.662582Z

Source-reported events for the cited work

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Observation 63d240c0-17eb-426c-84cc-121c493e4f32 · outbound

This paper cites LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs

Reference 7

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Observation 3f7fc18a-481e-4dae-ad5c-28daddf1ccfa · outbound

This paper cites In: International conference on machine learning.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: International conference on machine learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:30.755413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f7d3812-0407-46b2-afff-bfc48a038b32 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 9

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Source-reported events for the cited work

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Observation 648d15fc-6f79-43f0-9feb-0ef4497b1f23 · outbound

This paper cites MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:30.968198Z

Source-reported events for the cited work

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Observation fe6c6223-effc-4819-be1e-fc57e34fbc5a · outbound

This paper cites MobileVLM V2: Faster and Stronger Baseline for Vision Language Model.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:31.067103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40c2931c-fec7-4e7e-bc87-ff5b6e4afb9d · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:31.150275Z

Source-reported events for the cited work

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Observation e459685c-31e7-4ebe-85ec-8da48a1fec35 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:31.283561Z

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Observation 851d613a-82a2-40f0-a8a6-37c2b720f246 · outbound

This paper cites The Llama 3 Herd of Models.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models The Llama 3 Herd of Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:31.401238Z

Source-reported events for the cited work

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Observation 20f3df6d-a45c-42fe-86a3-b4cdc0addd49 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:31.484271Z

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Observation 0eabdc05-40e2-435d-94f2-6790dc326d40 · outbound

This paper cites GPT-4o System Card.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models GPT-4o System Card

Reference 16

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Observation ebb0b50f-bd58-4620-b42a-60bb598a5f0d · outbound

This paper cites Microsoft Research Blog 1(3), 3 (2023).

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Microsoft Research Blog 1(3), 3 (2023)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:20:38.436048Z

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Observation 4fc195f8-b857-4c71-9d70-9afa6ce79021 · outbound

This paper cites IEEE Network (2024).

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models IEEE Network (2024)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:20:38.188828Z

Source-reported events for the cited work

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Observation 27cc61d9-43ee-4628-ae39-668ff9fd7a0b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:20:37.911290Z

Source-reported events for the cited work

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Observation a46b1ef8-6e66-4042-bf2e-560d7d6115c7 · outbound

This paper cites In: European Conference on Computer Vision.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: European Conference on Computer Vision

Reference 20

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Observation caf95c9e-1e8b-4290-ae91-a4daa6825a17 · outbound

This paper cites MiniMax-01: Scaling Foundation Models with Lightning Attention.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models MiniMax-01: Scaling Foundation Models with Lightning Attention

Reference 21

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Observation 2ae49aa6-1a19-4996-83ee-71f799f8bae8 · outbound

This paper cites MIMIC-IT: Multi-Modal In-Context Instruction Tuning.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models MIMIC-IT: Multi-Modal In-Context Instruction Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:31.989594Z

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Observation bd0886bf-8a2f-492f-92b9-a27cb5892470 · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 23

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Observation 7b7497da-f65d-476a-a408-852f1f0b740f · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 24

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Observation 183d07b9-ef2a-4c0d-bbcd-70f57c4e4f95 · outbound

This paper cites MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Reference 25

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This paper cites DeepSeek-V3 Technical Report.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models DeepSeek-V3 Technical Report

Reference 26

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Observation c3efa5d9-edb5-41c1-8d14-017717735500 · outbound

This paper cites CoRR (2023).

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models CoRR (2023)

Reference 27

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Observation 903e10cc-bc2e-45ae-88c0-7fcc8dec158b · outbound

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EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Unresolved cited work

Reference 28

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Observation cad36c35-3160-41bb-8775-127ade344a8c · outbound

This paper cites A Survey on Inference Optimization Techniques for Mixture of Experts Models.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 29

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Observation 8acaa628-4394-4410-9ea6-8dd56f13a10a · outbound

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EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Unresolved cited work

Reference 30

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Observation d983cb1d-80f2-43d3-88ed-0d6fc61e3731 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 31

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Observation c9573e28-ed58-4c60-a49a-8b5bae23698f · outbound

This paper cites Advances in Neural Information Processing Systems 35, 2507–2521 (2022).

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Advances in Neural Information Processing Systems 35, 2507–2521 (2022)

Reference 32

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Observation 2c6bb227-8ca6-4cf5-ac6a-e0db8e34f991 · outbound

This paper cites Advances in Neural Information Processing Systems 35, 9564–9576 (2022).

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Advances in Neural Information Processing Systems 35, 9564–9576 (2022)

Reference 33

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Observation 173d928e-7302-4603-96e5-fbf4f78aa875 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models A Comprehensive Overview of Large Language Models

Reference 34

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Observation f2d8832e-b1a0-4d98-90bc-5134a7c0a743 · outbound

This paper cites In: International conference on machine learning.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: International conference on machine learning

Reference 35

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This paper cites In: International conference on machine learning.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: International conference on machine learning

Reference 36

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Observation cf10a8ec-9ea4-4941-9797-345210f4ae62 · outbound

This paper cites Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts

Reference 37

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Observation 55fcd764-81fa-4543-9445-70173646f3ec · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:20:36.553346Z

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Observation bd2b22cf-6711-46bf-a6d0-496110ad7cf1 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 39

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EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Kimi-VL Technical Report

Reference 40

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This paper cites Nature medicine 29(8), 1930–1940 (2023).

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Nature medicine 29(8), 1930–1940 (2023)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:20:36.312219Z

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Observation 26dc3cd6-55f0-4253-8236-0df2805e689a · outbound

This paper cites OpenChat: Advancing Open-source Language Models with Mixed-Quality Data.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Reference 42

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This paper cites To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Reference 43

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EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Qwen2 Technical Report

Reference 44

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EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models Qwen2.5 Technical Report

Reference 45

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This paper cites TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

Reference 46

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EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: 2023 USENIX Annual Technical Conference (USENIX ATC 23)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:20:36.060441Z

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Observation 4d66300c-f574-479e-b8f0-0d13205bc633 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:20:35.761159Z

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Observation ff969bf6-1f68-412c-b487-3d4e152c9be7 · outbound

This paper cites HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Reference 49

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EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models SVIT: Scaling up Visual Instruction Tuning

Reference 50

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EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts

Reference 51

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This paper cites In: Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:20:35.505652Z

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Observation 5423ee54-691d-4037-a926-fce55a327914 · outbound

This paper cites In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:20:35.277815Z

Source-reported events for the cited work

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Observation ed79252a-bc64-4bbe-9b9d-f6c05a6b223f · outbound

This paper cites MoVA: Adapting Mixture of Vision Experts to Multimodal Context.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models MoVA: Adapting Mixture of Vision Experts to Multimodal Context

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:34.598158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3b74db3f-1ce1-4ee2-97ff-a976c9606164 · inbound

SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs cites this paper.

SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:36:18.618979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4a56742-d546-454b-ac7e-012ef9258e47 · inbound

General Incomplete Multimodal Learning via Dynamic Quality Perception cites this paper.

General Incomplete Multimodal Learning via Dynamic Quality Perception EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:46:35.970437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.