Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models | Paper Citation Record

Observation 9c7b5a0c-6756-4faa-98ff-153c416d2c6b · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Observation b47d0111-3248-4caf-b0fe-8b3b56c6c592 · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Flamingo: a Visual Language Model for Few-Shot Learning

Reference 2

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Observation 3827a0b4-4f05-43e1-a11f-de13308982b9 · outbound

This paper cites M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Reference 3

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This paper cites Qwen-vl: A frontier large vision-language model with versatile abilities.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Qwen-vl: A frontier large vision-language model with versatile abilities

Reference 4

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Observation ef3b3bd9-d951-4494-8e39-26b57aa1de30 · outbound

This paper cites HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale

Reference 5

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Observation 729aaf4c-926a-4635-8cc5-3c8e9da74e2b · outbound

This paper cites Cost-effective Instruction Learning for Pathology Vision and Language Analysis.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Cost-effective Instruction Learning for Pathology Vision and Language Analysis

Reference 6

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Observation 16a6b825-4d59-472b-879d-0d13c6be68b3 · outbound

This paper cites Advancing High Resolution Vision-Language Models in Biomedicine.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Advancing High Resolution Vision-Language Models in Biomedicine

Reference 7

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Observation a6c240ef-aa99-4b94-96de-a984d2650a9c · outbound

This paper cites Biomedical Visual Instruction Tuning with Clinician Preference Alignment.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Biomedical Visual Instruction Tuning with Clinician Preference Alignment

Reference 8

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Observation 952ed72c-9102-4887-81f6-fccfedfd891f · outbound

This paper cites PA-LLaVA: A Large Language-Vision Assistant for Human Pathology Image Understanding.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models PA-LLaVA: A Large Language-Vision Assistant for Human Pathology Image Understanding

Reference 9

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Observation 9616ca7c-e27d-42c6-a75b-3e521ae5a0a3 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 10

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Observation 51b9bddc-8582-44e1-b393-e2c57ef0fc63 · outbound

This paper cites Pubmedclip: How much does clip benefit visual question answering in the medical domain? In Findings of the As- sociation for Computational Linguistics, 2023.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Pubmedclip: How much does clip benefit visual question answering in the medical domain? In Findings of the As- sociation for Computational Linguistics, 2023

Reference 11

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Observation bfbcf92f-5332-4546-a8db-7667296ec629 · outbound

This paper cites OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue

Reference 12

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Observation 69e8da40-8ffa-4c59-b5b9-efe5f1ee94ef · outbound

This paper cites PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 13

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Observation 0d78d018-de24-4c0d-8e6e-7475cb2440b0 · outbound

This paper cites PathVQA: 30000+ Questions for Medical Visual Question Answering.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 14

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This paper cites Classifier-Free Diffusion Guidance.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Classifier-Free Diffusion Guidance

Reference 15

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

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

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This paper cites CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning

Reference 17

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This paper cites Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation

Reference 18

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Observation 4ed4a4f1-bc2e-496f-a77c-00dd6858b270 · outbound

This paper cites Med-moe: Mixture of domain-specific ex- perts for lightweight medical vision-language models.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Med-moe: Mixture of domain-specific ex- perts for lightweight medical vision-language models

Reference 19

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This paper cites Cheung et al.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Cheung et al

Reference 20

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This paper cites Billion- scale similarity search with gpus.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Billion- scale similarity search with gpus

Reference 21

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This paper cites Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman

Reference 22

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This paper cites Mitigating object hal- lucinations in large vision-language models through visual contrastive decoding.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Mitigating object hal- lucinations in large vision-language models through visual contrastive decoding

Reference 23

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This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 24

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This paper cites Self-supervised vision-language pretraining for Medical visual question answering.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Self-supervised vision-language pretraining for Medical visual question answering

Reference 25

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This paper cites Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering

Reference 26

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This paper cites Evaluating object hallucination in large vision-language models.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Evaluating object hallucination in large vision-language models

Reference 27

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This paper cites Divide and conquer: Isolating normal-abnormal attributes in knowledge graph-enhanced radiology report generation.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Divide and conquer: Isolating normal-abnormal attributes in knowledge graph-enhanced radiology report generation

Reference 28

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This paper cites Slake: A semantically-labeled knowledge- enhanced dataset for medical visual question answering.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Slake: A semantically-labeled knowledge- enhanced dataset for medical visual question answering

Reference 29

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Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Visual instruction tuning

Reference 30

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This paper cites A Survey on Hallucination in Large Vision-Language Models.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models A Survey on Hallucination in Large Vision-Language Models

Reference 31

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This paper cites Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models

Reference 32

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This paper cites Biogpt: Generative pre- trained transformer for biomedical text generation and min- ing.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Biogpt: Generative pre- trained transformer for biomedical text generation and min- ing

Reference 33

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This paper cites A practical bayesian frame- work for backpropagation networks.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models A practical bayesian frame- work for backpropagation networks

Reference 34

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Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Malinin and M

Reference 35

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Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Med-flamingo: a multimodal medical few-shot learner

Reference 36

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This paper cites GPT-4 Technical Report.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models GPT-4 Technical Report

Reference 37

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Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Friedrich

Reference 38

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This paper cites Learning transferable visual models from natural language supervision.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Learning transferable visual models from natural language supervision

Reference 39

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This paper cites Main page — pathology education instructional resource,, 2020.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Main page — pathology education instructional resource,, 2020

Reference 40

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This paper cites Multimedeval: A benchmark and a toolkit for evaluating medical vision-language models.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Multimedeval: A benchmark and a toolkit for evaluating medical vision-language models

Reference 41

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This paper cites Stay on topic with Classifier-Free Guidance.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Stay on topic with Classifier-Free Guidance

Reference 42

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Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Ikezogwo et al

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This paper cites Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 44

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Observation 3ed246d2-9161-4c56-aa65-de9adab2d12f · outbound

This paper cites Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Reference 45

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This paper cites CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset

Reference 46

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This paper cites Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Reference 47

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Observation f9cff548-479c-4802-bcd6-17b85b9b2706 · outbound

This paper cites CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Reference 48

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This paper cites Mmed-rag: Versatile multimodal rag system for medical vision language models.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Mmed-rag: Versatile multimodal rag system for medical vision language models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:31.507937Z

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Observation 67291265-f43f-4385-a3ea-bfb9d2d32762 · outbound

This paper cites RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models

Reference 50

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Observation c0337b2c-e0ef-4476-8e29-0897bda0a490 · outbound

This paper cites Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V

Reference 51

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Observation cc77888e-d886-440d-9e8c-4d51235a0d8c · outbound

This paper cites mplug-owi2: Revolutionizing multi-modal large lan- guage model with modality collaboration.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models mplug-owi2: Revolutionizing multi-modal large lan- guage model with modality collaboration

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:31.326190Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d7c84a2c-2d52-4d76-9ae0-6888b0b457b4 · outbound

This paper cites Ramm: Retrieval-augmented biomedical visual question answering with multi-modal pre-training.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Ramm: Retrieval-augmented biomedical visual question answering with multi-modal pre-training

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:31.193167Z

Source-reported events for the cited work

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Observation d9fbb7e0-0943-4934-b7ee-bfbd194983d0 · outbound

This paper cites A gener- alist vision-language foundation model for diverse biomedi- cal tasks.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models A gener- alist vision-language foundation model for diverse biomedi- cal tasks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:31.052612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d075acc4-8fb4-4208-9d05-b14861a42f97 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T18:06:28.144917Z

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Observation 69f432a7-febb-4dcb-aef1-50c1ac2e7780 · outbound

This paper cites PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T18:06:28.241649Z

Source-reported events for the cited work

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Observation 3804dc7c-ed70-415f-aa1d-3943c1b589d2 · outbound

This paper cites Prompt highlighter: Interactive control for multi- modal llms.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Prompt highlighter: Interactive control for multi- modal llms

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:06:30.893636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dae8a228-0521-4795-beb7-901d192e8fd8 · outbound

This paper cites Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T18:06:28.441029Z

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