SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Jinge, Kim, Yunsoo, Shi, Daqian, Cliffton, David, Liu, Fenglin, Wu, Honghan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns
by: Kim, Yunsoo, et al.
Published: (2024)
by: Kim, Yunsoo, et al.
Published: (2024)
Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report Generation
by: Kim, Yunsoo, et al.
Published: (2025)
by: Kim, Yunsoo, et al.
Published: (2025)
RadEyeVideo: Enhancing general-domain Large Vision Language Model for chest X-ray analysis with video representations of eye gaze
by: Kim, Yunsoo, et al.
Published: (2025)
by: Kim, Yunsoo, et al.
Published: (2025)
Hallucination Benchmark in Medical Visual Question Answering
by: Wu, Jinge, et al.
Published: (2024)
by: Wu, Jinge, et al.
Published: (2024)
MedExQA: Medical Question Answering Benchmark with Multiple Explanations
by: Kim, Yunsoo, et al.
Published: (2024)
by: Kim, Yunsoo, et al.
Published: (2024)
BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain
by: Kim, Yunsoo, et al.
Published: (2025)
by: Kim, Yunsoo, et al.
Published: (2025)
RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization
by: Wu, Jinge, et al.
Published: (2024)
by: Wu, Jinge, et al.
Published: (2024)
Chain-of-Though (CoT) prompting strategies for medical error detection and correction
by: Wu, Zhaolong, et al.
Published: (2024)
by: Wu, Zhaolong, et al.
Published: (2024)
Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework
by: Wu, Jinge, et al.
Published: (2024)
by: Wu, Jinge, et al.
Published: (2024)
Exploring Multimodal Large Language Models for Radiology Report Error-checking
by: Wu, Jinge, et al.
Published: (2023)
by: Wu, Jinge, et al.
Published: (2023)
GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation
by: Sîrbu, Iustin, et al.
Published: (2025)
by: Sîrbu, Iustin, et al.
Published: (2025)
M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation
by: Park, Jonggwon, et al.
Published: (2024)
by: Park, Jonggwon, et al.
Published: (2024)
IHC-LLMiner: Automated extraction of tumour immunohistochemical profiles from PubMed abstracts using large language models
by: Kim, Yunsoo, et al.
Published: (2025)
by: Kim, Yunsoo, et al.
Published: (2025)
HARE: an entity and relation centric evaluation framework for histopathology reports
by: Kim, Yunsoo, et al.
Published: (2025)
by: Kim, Yunsoo, et al.
Published: (2025)
Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays
by: Cho, Yeongjae, et al.
Published: (2024)
by: Cho, Yeongjae, et al.
Published: (2024)
CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
by: Gu, Jawook, et al.
Published: (2024)
by: Gu, Jawook, et al.
Published: (2024)
A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation
by: Chen, Zhihong, et al.
Published: (2024)
by: Chen, Zhihong, et al.
Published: (2024)
CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images
by: Lee, Seowoo, et al.
Published: (2023)
by: Lee, Seowoo, et al.
Published: (2023)
A Hybrid Framework with Large Language Models for Rare Disease Phenotyping
by: Wu, Jinge, et al.
Published: (2024)
by: Wu, Jinge, et al.
Published: (2024)
AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-rays
by: Li, Xueyang, et al.
Published: (2025)
by: Li, Xueyang, et al.
Published: (2025)
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model
by: Zhu, Yichen, et al.
Published: (2024)
by: Zhu, Yichen, et al.
Published: (2024)
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment
by: Shin, Dongjae, et al.
Published: (2024)
by: Shin, Dongjae, et al.
Published: (2024)
PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation
by: Castro, Daniel C., et al.
Published: (2024)
by: Castro, Daniel C., et al.
Published: (2024)
RSNA Large Language Model Benchmark Dataset for Chest Radiographs of Cardiothoracic Disease: Radiologist Evaluation and Validation Enhanced by AI Labels (REVEAL-CXR)
by: Wei, Yishu, et al.
Published: (2026)
by: Wei, Yishu, et al.
Published: (2026)
SLaNC: Static LayerNorm Calibration
by: Salmani, Mahsa, et al.
Published: (2024)
by: Salmani, Mahsa, et al.
Published: (2024)
ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models
by: Nguyen, Duy Vu Minh, et al.
Published: (2026)
by: Nguyen, Duy Vu Minh, et al.
Published: (2026)
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
by: Park, Jonggwon, et al.
Published: (2025)
by: Park, Jonggwon, et al.
Published: (2025)
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
by: Lee, Suhyeon, et al.
Published: (2023)
by: Lee, Suhyeon, et al.
Published: (2023)
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant
by: Sun, Guohao, et al.
Published: (2024)
by: Sun, Guohao, et al.
Published: (2024)
Utility of Multimodal Large Language Models in Analyzing Chest X-ray with Incomplete Contextual Information
by: Kim, Choonghan, et al.
Published: (2024)
by: Kim, Choonghan, et al.
Published: (2024)
WoLF: Wide-scope Large Language Model Framework for CXR Understanding
by: Kang, Seil, et al.
Published: (2024)
by: Kang, Seil, et al.
Published: (2024)
Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation
by: Moon, Jong Hak, et al.
Published: (2025)
by: Moon, Jong Hak, et al.
Published: (2025)
VICCA: Visual Interpretation and Comprehension of Chest X-ray Anomalies in Generated Report Without Human Feedback
by: Picha, Sayeh Gholipour, et al.
Published: (2025)
by: Picha, Sayeh Gholipour, et al.
Published: (2025)
LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task
by: Le-Duc, Khai, et al.
Published: (2024)
by: Le-Duc, Khai, et al.
Published: (2024)
CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories
by: Arora, Mehak, et al.
Published: (2025)
by: Arora, Mehak, et al.
Published: (2025)
LoV3D: Grounding Cognitive Prognosis Reasoning in Longitudinal 3D Brain MRI via Regional Volume Assessments
by: Jiang, Zhaoyang, et al.
Published: (2026)
by: Jiang, Zhaoyang, et al.
Published: (2026)
On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning
by: Kim, Geewook, et al.
Published: (2024)
by: Kim, Geewook, et al.
Published: (2024)
Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based Metric
by: Picha, Sayeh Gholipour, et al.
Published: (2024)
by: Picha, Sayeh Gholipour, et al.
Published: (2024)
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
by: Girrbach, Leander, et al.
Published: (2024)
by: Girrbach, Leander, et al.
Published: (2024)
Similar Items
-
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns
by: Kim, Yunsoo, et al.
Published: (2024) -
Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report Generation
by: Kim, Yunsoo, et al.
Published: (2025) -
RadEyeVideo: Enhancing general-domain Large Vision Language Model for chest X-ray analysis with video representations of eye gaze
by: Kim, Yunsoo, et al.
Published: (2025) -
Hallucination Benchmark in Medical Visual Question Answering
by: Wu, Jinge, et al.
Published: (2024) -
MedExQA: Medical Question Answering Benchmark with Multiple Explanations
by: Kim, Yunsoo, et al.
Published: (2024)