SLAKE
Emerging13papers using it
2023first seen
Dataset Info: SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering [ISBI 2021 oral] Project Page: click Corresponding Authors: Bo Liu, Xiao-Ming Wu Any questions, please contact us. Thank you! Modification: In the Huggingface Repo, we have changed the name of validate.json to v
Papers using SLAKE (13)
- Scalable Training of Spatially Grounded 2D Vision-Language Models for RadiologyBenchmarking GPT-5 For Zero-shot Multimodal Medical Reasoning In Radiology And Radiation OncologyRoiMAM: Region-of-Interest Medical Attention Model for Efficient Vision-Language UnderstandingDual Causal Inference: Integrating Backdoor Adjustment and Instrumental Variable Learning for Medical VQAInViC: Intent-aware Visual Cues for Medical Visual Question AnsweringRobust Pre-Training of Medical Vision-and-Language Models with Domain-Invariant Multi-Modal Masked ReconstructionCMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answeringLlada-medv: Exploring Large Language Diffusion Models For Biomedical Image UnderstandingHow Far Have Medical Vision-language Models Come? A Comprehensive Benchmarking StudyCalibrating Uncertainty Quantification of Multi-Modal LLMs using
GroundingRAMM: Retrieval-augmented Biomedical Visual Question Answering with
Multi-modal Pre-trainingMedThink: Explaining Medical Visual Question Answering via Multimodal
Decision-Making RationaleLaPA: Latent Prompt Assist Model For Medical Visual Question Answering