AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring | Paper Citation Record

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AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Unresolved cited work

Reference 1

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AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Unresolved cited work

Reference 2

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This paper cites Spice: Semantic propositional image caption evaluation, in: European conference on computer vision, Springer.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Spice: Semantic propositional image caption evaluation, in: European conference on computer vision, Springer

Reference 3

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This paper cites Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond

Reference 4

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AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Unresolved cited work

Reference 5

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Observation c04100e3-cd8e-4ba3-a284-21d5c58c1a73 · outbound

This paper cites Context-awarevision-languagemodelagentenriched with domain-specific ontology for construction site safety monitoring.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Context-awarevision-languagemodelagentenriched with domain-specific ontology for construction site safety monitoring

Reference 6

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Observation db022c64-081e-45f2-8731-59aa3cee9036 · outbound

This paper cites Enhancing vision-language model for construction safety inspection via visually grounded reasoning and reinforcement learning.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Enhancing vision-language model for construction safety inspection via visually grounded reasoning and reinforcement learning

Reference 7

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Observation 15e6ae3a-8d24-4bda-a6f4-97f1cf8b41fa · outbound

This paper cites Augmented reality, deep learning and vision-language query system for construction worker safety.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Augmented reality, deep learning and vision-language query system for construction worker safety

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-08T22:35:40.449701Z

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Observation b97a474a-15c1-478c-a0d9-7f4144f25c6a · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 9

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This paper cites An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:35:40.573081Z

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Observation 50a78136-ca05-4dfb-b2c1-b1ec9f796d1c · outbound

This paper cites Tailored vision-language framework for automated hazard identification and report generation in construc- tion sites.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Tailored vision-language framework for automated hazard identification and report generation in construc- tion sites

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-08T22:35:40.452922Z

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Observation 79dd781b-948c-4f84-b7e2-c20924fd489e · outbound

This paper cites Canmultimodallargelanguagemodelstrulyperform multimodalin-contextlearning?,in:2025IEEE/CVFWinterConferenceonApplicationsofComputerVision(WACV),IEEE.pp.6000–6010.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Canmultimodallargelanguagemodelstrulyperform multimodalin-contextlearning?,in:2025IEEE/CVFWinterConferenceonApplicationsofComputerVision(WACV),IEEE.pp.6000–6010

Reference 12

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This paper cites Are large pre-trained vision language models effective construction safety inspectors.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Are large pre-trained vision language models effective construction safety inspectors

Reference 13

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This paper cites Expandingperformanceboundariesof open-source multimodal models with model, data, and test-time scaling.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Expandingperformanceboundariesof open-source multimodal models with model, data, and test-time scaling

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:35:41.308515Z

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Observation 41ae7e5f-ee17-45c6-a353-c484f16f95ec · outbound

This paper cites Chain of Thought Prompt Tuning in Vision Language Models.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Chain of Thought Prompt Tuning in Vision Language Models

Reference 15

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This paper cites Intelligent virtual assistants with llm-based process automation.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Intelligent virtual assistants with llm-based process automation

Reference 16

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This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring LoRA: Low-Rank Adaptation of Large Language Models

Reference 17

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AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Unresolved cited work

Reference 18

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This paper cites Vru-accident: A vision-language benchmark for video question answering and dense captioning for accident scene understanding.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Vru-accident: A vision-language benchmark for video question answering and dense captioning for accident scene understanding

Reference 19

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This paper cites Safe-llava:Aprivacy-preservingvision-languagedatasetandbenchmarkforbiometricsafety.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Safe-llava:Aprivacy-preservingvision-languagedatasetandbenchmarkforbiometricsafety

Reference 20

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This paper cites Res-bench: Benchmarking the robustness of multimodal large language models to dynamic resolution input, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Res-bench: Benchmarking the robustness of multimodal large language models to dynamic resolution input, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 21

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Observation ea9338c7-0f61-4527-99cb-c07ee5d7f74b · outbound

This paper cites Construction site fall hazard identification and automated captioning using adapted vision-language models.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Construction site fall hazard identification and automated captioning using adapted vision-language models

Reference 22

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This paper cites AdaptVision: Efficient vision-language models via adaptive visual acquisition.arXiv preprint arXiv:2512.03794, 2025.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring AdaptVision: Efficient vision-language models via adaptive visual acquisition.arXiv preprint arXiv:2512.03794, 2025

Reference 23

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Observation 3761a0a6-e163-4383-8877-fd02b169a6b3 · outbound

This paper cites Llava-next: Improved reasoning, ocr, and world knowledge.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Llava-next: Improved reasoning, ocr, and world knowledge

Reference 24

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This paper cites Visual instruction tuning, in: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Visual instruction tuning, in: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S

Reference 25

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This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 26

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This paper cites The Llama 3 Herd of Models.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring The Llama 3 Herd of Models

Reference 27

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This paper cites GPT-4 Technical Report.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring GPT-4 Technical Report

Reference 28

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Observation b911e575-3131-4eb4-a6d0-3ddc7845e535 · outbound

This paper cites Privacy-Aware Visual Language Models.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Privacy-Aware Visual Language Models

Reference 29

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This paper cites Vlm-robustbench: A comprehensive benchmark for robustness of vision-language models.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Vlm-robustbench: A comprehensive benchmark for robustness of vision-language models

Reference 30

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Observation fa13d331-0a3d-4d9b-a0a6-27624befe93f · outbound

This paper cites Vision-language models for edge networks: A comprehensive survey.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Vision-language models for edge networks: A comprehensive survey

Reference 31

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This paper cites Upop: Unified and progressive pruning for compressing vision-language transformers, in: International Conference on Machine Learning, PMLR.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Upop: Unified and progressive pruning for compressing vision-language transformers, in: International Conference on Machine Learning, PMLR

Reference 32

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Observation 01db1329-854a-4e32-a16d-f8f63d9592ac · outbound

This paper cites Real-time safety detection on construction sites using a vision-language and nlp- based model.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Real-time safety detection on construction sites using a vision-language and nlp- based model

Reference 33

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Observation ef1d064f-93a1-4846-9930-8abc511a1541 · outbound

This paper cites A double thinking enabled visual language model for open-set construction site safety inspections.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring A double thinking enabled visual language model for open-set construction site safety inspections

Reference 34

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Observation 5a347992-f026-482e-9bb5-576ef879123e · outbound

This paper cites Region-level vision-language model for detecting distraction behavior and mobility attributes of vulnerable road users.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Region-level vision-language model for detecting distraction behavior and mobility attributes of vulnerable road users

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-08T22:35:40.461810Z

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Observation a9ca898f-8578-4960-ac15-8a82a00adb27 · outbound

This paper cites Visual question answering-based referring expression segmentation for construction safety analysis.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Visual question answering-based referring expression segmentation for construction safety analysis

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-08T22:35:40.458666Z

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Observation 03238cdb-052e-49f1-8880-de628907165f · outbound

This paper cites Selma: A speech-enabled language model for virtual assistant interactions.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Selma: A speech-enabled language model for virtual assistant interactions

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:35:41.295114Z

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Observation 34c9128a-0134-4b53-9856-11c20b6f6627 · outbound

This paper cites Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:35:41.288555Z

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Observation b89f6176-1db0-4b14-99ce-d82dc42d1d68 · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 39

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Observation 845780f1-5d67-4024-8896-568df97ed835 · outbound

This paper cites Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers

Reference 40

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T22:35:40.609039Z

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Observation 55cfce7d-25f9-42f7-ad8f-44484ae995b2 · outbound

This paper cites PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction

Reference 41

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T22:35:40.606423Z

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Observation 309f9b4b-22ac-4542-9287-bb29ee9c9b1e · outbound

This paper cites Llava-cot: Let vision language models reason step-by-step, in: Proceedings of the IEEE/CVF International Conference on Computer Vision.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Llava-cot: Let vision language models reason step-by-step, in: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:35:41.281322Z

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Observation ba0ffa3c-a517-4530-aa69-323d59955cd3 · outbound

This paper cites Edgevideoanalytics:Asurveyonapplications,systemsandenablingtechniques.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Edgevideoanalytics:Asurveyonapplications,systemsandenablingtechniques

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:35:41.282854Z

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Observation b0423c76-7678-438b-bf77-54c87ea12c95 · outbound

This paper cites Qwen2.5 Technical Report.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Qwen2.5 Technical Report

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:35:40.585730Z

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Observation 1c8752b1-5b71-4006-b0fb-0b9598995377 · outbound

This paper cites Vision transformer-based visual language understanding of the con- struction process.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Vision transformer-based visual language understanding of the con- struction process

Reference 45

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correction dated 2024-05-21. Source: crossref record 10.1016/j.aej.2024.05.064->10.1016/j.aej.2024.05.015:correction, observed 2026-07-11T03:14:22.632143+00:00. This notice travels one citation hop only.

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This paper cites Visionzip: Longer is better but not necessary in vision language models, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Visionzip: Longer is better but not necessary in vision language models, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:35:41.284722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f04773a-9683-4cc4-9277-5bd91c9cf822 · outbound

This paper cites Visionthink: Smart and efficient vision language model via reinforcement learning.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Visionthink: Smart and efficient vision language model via reinforcement learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:35:41.279512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aec977bd-d0e7-416b-90e9-f9dca407730b · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring BERTScore: Evaluating Text Generation with BERT

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:35:40.611532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f908bd59-8cb1-41b8-b779-8b2e0a937fef · outbound

This paper cites SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:35:40.598163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 01c5da41-714e-464d-9706-0f192a0a4c77 · outbound

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

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Multimodal Chain-of-Thought Reasoning in Language Models

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:35:40.593114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 370f17ac-fcac-4490-a6de-21e2d736c31f · outbound

This paper cites Mmicl: Empowering vision-language model with multi-modal in-context learning, in: International Conference on Learning Representations, pp.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Mmicl: Empowering vision-language model with multi-modal in-context learning, in: International Conference on Learning Representations, pp

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:35:41.276107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31197953-97f3-4862-a023-8cb7add18a2a · outbound

This paper cites Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models.

AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T22:35:41.269087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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