AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs | Paper Citation Record

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This paper cites GPT-4 Technical Report.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs GPT-4 Technical Report

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This paper cites Advances in neural information processing systems35, 23716– 23736 (2022) 3.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in neural information processing systems35, 23716– 23736 (2022) 3

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Qwen Technical Report

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This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Qwen2.5-VL Technical Report

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This paper cites Hallucination of Multimodal Large Language Models: A Survey.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Hallucination of Multimodal Large Language Models: A Survey

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This paper cites Advances in Neural Information Processing Systems35, 32897– 32912 (2022) 4.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in Neural Information Processing Systems35, 32897– 32912 (2022) 4

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This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

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This paper cites In: Proceedings of the 23nd annual ACM symposium on User interface software and technology.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the 23nd annual ACM symposium on User interface software and technology

Reference 9

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This paper cites Advances in neural information processing systems (2020) 1, 3.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in neural information processing systems (2020) 1, 3

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This paper cites InternLM2 Technical Report.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs InternLM2 Technical Report

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This paper cites In: European Conference on Computer Vision (2024) 12.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: European Conference on Computer Vision (2024) 12

Reference 12

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Unresolved cited work

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This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Microsoft COCO Captions: Data Collection and Evaluation Server

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This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: 2009 IEEE conference on computer vision and pattern recognition (2009) 8

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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This paper cites Journal of Machine Learning Research 23(120), 1–39 (2022) 4, 11.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Journal of Machine Learning Research 23(120), 1–39 (2022) 4, 11

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This paper cites In: European Conference on Computer Vision (2024) 8, 24.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: European Conference on Computer Vision (2024) 8, 24

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This paper cites In: International conference on machine learning.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: International conference on machine learning

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Visual Hallucinations of Multi-modal Large Language Models

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF confer- ence on computer vision and pattern recognition

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs GPT-4o System Card

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Moschitti, A., Pang, B., Daelemans, W

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 28

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in neural information processing systems35, 22199–22213 (2022) 1

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs International journal of computer vision123, 32–73 (2017) 23 18 Zhang et al

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs LLaVA-OneVision: Easy Visual Task Transfer

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: International conference on machine learning (2023) 3

Reference 32

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Evaluating Object Hallucination in Large Vision-Language Models

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Computer vision– ECCV 2014: 13th European conference, zurich, Switzerland, September 6-12, 2014, proceedings, part v 13

Reference 35

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts

Reference 37

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Improved Baselines with Visual Instruction Tuning

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in neural information processing systems (2024) 8

Reference 39

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: 2019 international conference on document analysis and recognition (ICDAR)

Reference 41

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs DINOv2: Learning Robust Visual Features without Supervision

Reference 42

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in neural information processing sys- tems35, 27730–27744 (2022) 7

Reference 43

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Isabelle, P., Charniak, E., Lin, D

Reference 44

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Instruction Tuning with GPT-4

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs RoRA-VLM: Robust Retrieval-Augmented Vision Language Models

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: International conference on machine learning

Reference 48

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs OpenAI blog (2019) 3

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceed- ings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining

Reference 50

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This paper cites International Journal of Computer Vision (IJCV)115(3), 211–252 (2015).https://doi.org/10.1007/s11263-015-0816-y 25.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs International Journal of Computer Vision (IJCV)115(3), 211–252 (2015).https://doi.org/10.1007/s11263-015-0816-y 25

Reference 51

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF In- ternational Conference on Computer Vision

Reference 52

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

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:54.177162Z

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

Observation 2af3891e-4d2e-435e-925d-dd674b779fc4 · outbound

This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:54.017425Z

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 8fa1d37a-00b5-4618-bfef-5bba855dad24 · outbound

This paper cites an unresolved cited work.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:49:53.855989Z

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

Observation 5ab4e903-be42-4e89-8382-648c3588d80a · outbound

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

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:46.874332Z

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Observation 3d3401e8-2d2e-4e1c-8760-a0d7374bc36d · outbound

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:46.998208Z

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Unavailable: canonical work link unavailable.

Observation fd8e0cce-8028-491b-9170-f2e60edcfdad · outbound

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in Neural Information Processing Systems (2024) 8

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:53.684287Z

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 a5e28183-a82c-448b-9f78-bb92c0341f09 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 8, 24.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 8, 24

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:53.529178Z

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 b62fed41-5f33-40f5-bc61-a5b9bab7392d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs LLaMA: Open and Efficient Foundation Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:47.193356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00a39c9a-e009-49a8-b779-50e531aa505d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:47.285204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bee457e-61bd-478f-b247-80d6e6e50ad7 · outbound

This paper cites an unresolved cited work.

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Reference 62

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:49:50.211516Z

Source-reported events for the cited work

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Observation 1b1ae32e-4f21-4040-8688-30b6726a507f · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022) 1 20 Zhang et al.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in neural information processing systems35, 24824–24837 (2022) 1 20 Zhang et al

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:53.344363Z

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 de9d9344-0a43-42a5-bc31-053bb1099ebb · outbound

This paper cites CoMMIT: Coordinated Multimodal Instruction Tuning.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs CoMMIT: Coordinated Multimodal Instruction Tuning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:47.581290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4b47a9-2a6b-4935-b17b-3a2656142bf0 · outbound

This paper cites Visual Prompting in Multimodal Large Language Models: A Survey.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Visual Prompting in Multimodal Large Language Models: A Survey

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:47.733190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d1deadb-7a6d-4f8e-9862-258ca63aa7f9 · outbound

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs co / datasets / xai - org / RealworldQA[] 8

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:53.179415Z

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 1562428a-527c-49b2-89e7-537142322976 · outbound

This paper cites an unresolved cited work.

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Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:49:52.993558Z

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 d6a43316-922f-42e6-958d-517bb29ceb94 · outbound

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

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:52.857659Z

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 f87b5678-d72d-4cdf-be5d-1e3671f9bd4f · outbound

This paper cites arXiv preprint arXiv:2502.13146 (2025) 4.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs arXiv preprint arXiv:2502.13146 (2025) 4

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:48.167803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae86efb-ae16-46f3-888c-6a9397ec51a1 · outbound

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AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in Neural Information Processing Systems36, 24993–25006 (2023) 3, 4, 8, 12

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:52.715548Z

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 e831e6d9-661a-4064-8a45-e0bf0e5e96d2 · outbound

This paper cites In: European conference on computer vision (2016) 8.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: European conference on computer vision (2016) 8

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:52.490457Z

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 6eee4560-a777-4c93-9803-1b092500d740 · outbound

This paper cites In: European Conference on Computer Vision.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: European Conference on Computer Vision

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:52.344148Z

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 9e52b349-53d8-4935-9c12-82ce955bb5a3 · outbound

This paper cites Frame-Voyager: Learning to Query Frames for Video Large Language Models.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Frame-Voyager: Learning to Query Frames for Video Large Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:48.564539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39c91981-0d00-4d70-b54b-0b83a7d6f421 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:48.654570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe689ff7-d5fb-469b-9766-e865a4bc2c02 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 8, 23.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 8, 23

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:52.189741Z

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 af87111e-c425-43b8-9b2a-771a669aecc3 · outbound

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

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:52.047047Z

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 4104aa22-8493-4fc8-a709-44378d9539f8 · outbound

This paper cites Advances in Neural Information Processing Systems36, 20299–20319 (2023) 1, 3.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in Neural Information Processing Systems36, 20299–20319 (2023) 1, 3

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:51.929376Z

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 e098ef78-1fc0-4e52-8d3c-782bd8074457 · outbound

This paper cites In: Proceedings of the 27th ACM International Conference on Multimedia.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the 27th ACM International Conference on Multimedia

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:51.822237Z

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 94290b77-91d5-46dd-bd2e-e6dfeabdf314 · outbound

This paper cites ICLR (2025) 6, 12.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs ICLR (2025) 6, 12

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:51.628893Z

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 5bf82dca-0c49-4916-9cc5-b72111445e1e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 3, 12 AutoV 21.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 3, 12 AutoV 21

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:51.366436Z

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 ed683ece-5320-4571-9c26-6fcdef680427 · outbound

This paper cites Advances in Neural Information Processing Systems37, 118632–118653 (2024) 6.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Advances in Neural Information Processing Systems37, 118632–118653 (2024) 6

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:51.132004Z

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 96a96328-d5f3-4894-997a-3beafc38e197 · outbound

This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022) 1.

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022) 1

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:50.970112Z

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 28e97a0e-425d-403f-add9-a6f8a4c99323 · outbound

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

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs MoVA: Adapting Mixture of Vision Experts to Multimodal Context

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:49.696369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference resolution

Outbound references

Pith citing papers