Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models | Paper Citation Record

Observation f45adc82-7f6c-4ed6-8107-c32e23d58b5b · outbound

This paper cites & Xiao, R.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models & Xiao, R

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:17.625317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa15baec-3604-440d-bfb5-896d47cef110 · outbound

This paper cites 1016/j.neucom.2015.09.116 (2016).

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models 1016/j.neucom.2015.09.116 (2016)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:17.675935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2f1e716-7552-4d5c-9163-b5ff65b74176 · outbound

This paper cites Intell.55, 311, DOI: https://doi.org/10.1007/s10489-024-05937-6 (2025).

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Intell.55, 311, DOI: https://doi.org/10.1007/s10489-024-05937-6 (2025)

Reference 3

Resolution: verified exact; doi, observed 2026-08-01T12:03:38.477275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d424ca4c-d719-46a8-9f43-4f8d3af12675 · outbound

This paper cites Unified Structure Generation for Universal Information Extraction.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Unified Structure Generation for Universal Information Extraction

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:17.837923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49b92728-5006-4879-8d70-b365fdf842f6 · outbound

This paper cites InInternational Conference on Document Analysis and Recognition, 36–53, DOI: https://doi.org/10.1007/978-3-031-41731-3_3 (2023).

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models InInternational Conference on Document Analysis and Recognition, 36–53, DOI: https://doi.org/10.1007/978-3-031-41731-3_3 (2023)

Reference 6

Resolution: verified exact; doi, observed 2026-08-01T12:03:38.044236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a36ce43-8f5f-4368-a06e-1591774a79dc · outbound

This paper cites InProceedings of the AAAI Conference on Artificial Intelligence, vol.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models InProceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 7

Resolution: verified exact; doi, observed 2026-08-01T12:03:37.684842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c532239-abbb-43b5-a908-96eb7ca96102 · outbound

This paper cites & Luo, X.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models & Luo, X

Reference 8

Resolution: verified exact; doi, observed 2026-08-01T12:03:37.320469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc601ed0-71f4-416a-a89a-46f156c7a3b3 · outbound

This paper cites Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:18.087177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7cb975d-64bf-4e65-8960-c53fa956e32c · outbound

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

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:18.141053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47063345-1be5-4073-a46e-7ec4443a7c74 · outbound

This paper cites an unresolved cited work.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:18.265613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb896f8-ab00-4f40-b328-d121bdd9ec3c · outbound

This paper cites & Zhang, C.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models & Zhang, C

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:18.356247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18af6bcc-6a6e-4987-901d-ad8d1fb95038 · outbound

This paper cites Chargrid: Towards Understanding 2D Documents.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Chargrid: Towards Understanding 2D Documents

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:18.497158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6968f33b-c631-4d08-929f-7a262d28bbf1 · outbound

This paper cites BERTgrid: Contextualized Embedding for 2D Document Representation and Understanding.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models BERTgrid: Contextualized Embedding for 2D Document Representation and Understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:18.616511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1bde485-56e1-4a56-a246-c74e016c1859 · outbound

This paper cites GraphIE: A Graph-Based Framework for Information Extraction.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models GraphIE: A Graph-Based Framework for Information Extraction

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:18.777538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d63abcac-5910-4f2f-8199-fdd2771e48f8 · outbound

This paper cites MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:18.891263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71716ef6-6f4a-4954-b647-1ef8b9995e1d · outbound

This paper cites & Zhang, J.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models & Zhang, J

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:19.030776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 059fbc0d-3b96-4cb0-84dc-287d883a8b01 · outbound

This paper cites & Wei, F.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models & Wei, F

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:19.161415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 201a0053-00db-4206-b0bb-f82617b0ab4e · outbound

This paper cites InProceedings of the 29th ACM International Conference on Multimedia, 1912–1920, DOI: https://doi.org/10.1145/3474085.34753 (2021).

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models InProceedings of the 29th ACM International Conference on Multimedia, 1912–1920, DOI: https://doi.org/10.1145/3474085.34753 (2021)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:19.277839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6aa68a6-dd92-44a8-8fa0-0d1ea794d140 · outbound

This paper cites Neural Inf.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Neural Inf

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:19.429106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8b07bc-dab5-48a4-a47c-0954e3c08d2e · outbound

This paper cites LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:19.585721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c090e139-ab1d-437c-b44d-c3211b7e939c · outbound

This paper cites LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:19.719598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d394141f-5516-4e0a-83a0-f36563d100d1 · outbound

This paper cites In2019 International Conference on Document Analysis and Recognition (ICDAR), 254–259, DOI: 10.1109/ICDAR.2019.00049 (2019).

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models In2019 International Conference on Document Analysis and Recognition (ICDAR), 254–259, DOI: 10.1109/ICDAR.2019.00049 (2019)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:19.845817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afba1850-c6fd-4169-9a1e-8fdfa672f1ef · outbound

This paper cites InProceedings of the 28th ACM International Conference on Multimedia, 1413–1422, DOI: https://doi.org/10.1145/3394171.341390 (2020).

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models InProceedings of the 28th ACM International Conference on Multimedia, 1413–1422, DOI: https://doi.org/10.1145/3394171.341390 (2020)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:19.946498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e26908bb-191c-4b79-9739-bbbb38779410 · outbound

This paper cites InEuropean Conference on Computer Vision, 498–517, DOI: https://doi.org/10.1007/978-3-031-19815-1_29 (2022).

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models InEuropean Conference on Computer Vision, 498–517, DOI: https://doi.org/10.1007/978-3-031-19815-1_29 (2022)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:20.109094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61a547f8-bfbe-4254-8a56-afe7a5be6858 · outbound

This paper cites & Lin, W.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models & Lin, W

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:20.208664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32d5119-d1f9-4450-a6f9-7dca13fb2c4d · outbound

This paper cites Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:20.367919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49b5706a-0f62-4c91-9c71-4e30e454915e · outbound

This paper cites Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:20.476653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b68db9-e95d-47c9-b397-711319edd654 · outbound

This paper cites InFindings of the Association for Computational Linguistics: EMNLP 2023, 2969–2979, DOI: 10.18653/v1/2023.findings-emnlp.196 (2023).

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models InFindings of the Association for Computational Linguistics: EMNLP 2023, 2969–2979, DOI: 10.18653/v1/2023.findings-emnlp.196 (2023)

Reference 31

Resolution: verified exact; doi, observed 2026-08-01T12:03:37.039967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f5410b56-3cbd-4bba-adf4-ae2d34b9d1d8 · outbound

This paper cites an unresolved cited work.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Unresolved cited work

Reference 32

Resolution: verified exact; doi, observed 2026-08-01T12:03:36.694195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 59c2a76b-54d4-4878-b44b-50cd8a0cff9d · outbound

This paper cites In Ku, L.-W., Martins, A.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models In Ku, L.-W., Martins, A

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:20.505811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c0a5133-ebcb-45d7-9502-81fd71b57dc8 · outbound

This paper cites an unresolved cited work.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:20.671257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9064e0cf-1bda-42db-a5ec-0cc99396b5ec · outbound

This paper cites In2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 26753–26763, DOI: 10.1109/CVPR52733.2024.02527 (2024).

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models In2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 26753–26763, DOI: 10.1109/CVPR52733.2024.02527 (2024)

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:20.828846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab9d084d-9c46-4594-837e-e94c8292e958 · outbound

This paper cites an unresolved cited work.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:20.991352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e5df790-5993-4e22-b407-ec9293e1a09e · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:21.153288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f563174e-8301-4165-9ba7-c90c4db1264c · outbound

This paper cites In2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11966–11976, DOI: 10.1109/CVPR52688.2022.01167 (2022).

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models In2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11966–11976, DOI: 10.1109/CVPR52688.2022.01167 (2022)

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:21.315479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b17ab408-0576-442d-90ff-8f64de7ddf55 · outbound

This paper cites In2019 International Conference on Document Analysis and Recognition (ICDAR), 1516–1520, DOI: 10.1109/ICDAR.2019.00244 (2019).

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models In2019 International Conference on Document Analysis and Recognition (ICDAR), 1516–1520, DOI: 10.1109/ICDAR.2019.00244 (2019)

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:21.475760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 345ed0d4-f050-4c03-8df4-ba451cd25737 · outbound

This paper cites an unresolved cited work.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Unresolved cited work

Reference 40

Resolution: verified exact; doi, observed 2026-08-01T12:03:36.373401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 440b72f5-9b54-4daf-a980-e38f0e32455d · outbound

This paper cites PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:21.691605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1c3746b-2b87-4e44-b5d2-8048fc7a969b · outbound

This paper cites Paddlelabel, an effective and flexible tool for data annotation.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Paddlelabel, an effective and flexible tool for data annotation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:21.805133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88ef2078-ffbf-44a6-b93a-e228e0165832 · outbound

This paper cites & Liang, X.

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models & Liang, X

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:21.894838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0d9c65e-093f-439c-bad1-6d34325a1476 · outbound

This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 16133–16142, DOI: 10.1109/CVPR52729.2023.01548 (2023).

Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 16133–16142, DOI: 10.1109/CVPR52729.2023.01548 (2023)

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T11:59:22.014713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers