Cover Image

CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Seowoo, Youn, Jiwon, Kim, Hyungjin, Kim, Mansu, Yoon, Soon Ho
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation
by: Park, Jonggwon, et al.
Published: (2024)

WoLF: Wide-scope Large Language Model Framework for CXR Understanding
by: Kang, Seil, et al.
Published: (2024)

LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
by: Lee, Suhyeon, et al.
Published: (2023)

Brain-Aware Readout Layers in GNNs: Advancing Alzheimer's early Detection and Neuroimaging
by: Youn, Jiwon, et al.
Published: (2024)

Emergence of psychopathological computations in large language models
by: Lee, Soo Yong, et al.
Published: (2025)

SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation
by: Wu, Jinge, et al.
Published: (2024)

Surrogate modeling for interpreting black-box LLMs in medical predictions
by: Han, Changho, et al.
Published: (2026)

Ploutos: Towards interpretable stock movement prediction with financial large language model
by: Tong, Hanshuang, et al.
Published: (2024)

MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models
by: Kim, Junmo, et al.
Published: (2025)

Dissociating language and thought in large language models
by: Mahowald, Kyle, et al.
Published: (2023)

Early screening of potential breakthrough technologies with enhanced interpretability: A patent-specific hierarchical attention network model
by: Choi, Jaewoong, et al.
Published: (2024)

Generics in science communication: Misaligned interpretations across laypeople, scientists, and large language models
by: Peters, Uwe, et al.
Published: (2026)

On the attribution of confidence to large language models
by: Keeling, Geoff, et al.
Published: (2024)

Cognitive models can reveal interpretable value trade-offs in language models
by: Murthy, Sonia K., et al.
Published: (2025)

When language and vision meet road safety: leveraging multimodal large language models for video-based traffic accident analysis
by: Zhang, Ruixuan, et al.
Published: (2025)

RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation
by: Kim, Kiseung, et al.
Published: (2024)

DepressLLM: Interpretable domain-adapted language model for depression detection from real-world narratives
by: Moon, Sehwan, et al.
Published: (2025)

A.X K1 Technical Report
by: Cheon, Sung Jun, et al.
Published: (2026)

Representation in large language models
by: Yetman, Cameron
Published: (2025)

What If TSF: A Benchmark for Reframing Forecasting as Scenario-Guided Multimodal Forecasting
by: Jang, Jinkwan, et al.
Published: (2026)

Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation
by: Moon, Jong Hak, et al.
Published: (2025)

CheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation
by: Sharma, Sonali, et al.
Published: (2026)

SemPool: Simple, robust, and interpretable KG pooling for enhancing language models
by: Mavromatis, Costas, et al.
Published: (2024)

LiteStage: Latency-aware Layer Skipping for Multi-stage Reasoning
by: Kang, Beomseok, et al.
Published: (2025)

A systematic framework for generating novel experimental hypotheses from language models
by: Misra, Kanishka, et al.
Published: (2024)

CXR-Agent: Vision-language models for chest X-ray interpretation with uncertainty aware radiology reporting
by: Sharma, Naman
Published: (2024)

Can large language models build causal graphs?
by: Long, Stephanie, et al.
Published: (2023)

Response: Emergent analogical reasoning in large language models
by: Hodel, Damian, et al.
Published: (2023)

Quantifying non deterministic drift in large language models
by: Nicholson, Claire
Published: (2026)

Multi-round jailbreak attack on large language models
by: Zhou, Yihua, et al.
Published: (2024)

The 20 questions game to distinguish large language models
by: Richardeau, Gurvan, et al.
Published: (2024)

Medical large language models are easily distracted
by: Vishwanath, Krithik, et al.
Published: (2025)

Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
by: Kwon, Yeonsu, et al.
Published: (2026)

A survey of textual cyber abuse detection using cutting-edge language models and large language models
by: Diaz-Garcia, Jose A., et al.
Published: (2025)

Optimizing watermarks for large language models
by: Wouters, Bram
Published: (2023)

Alignment faking in large language models
by: Greenblatt, Ryan, et al.
Published: (2024)

Language-Agnostic Suicidal Risk Detection Using Large Language Models
by: Kim, June-Woo, et al.
Published: (2025)

Strong and weak alignment of large language models with human values
by: Khamassi, Mehdi, et al.
Published: (2024)

Streamlining evidence based clinical recommendations with large language models
by: Li, Dubai, et al.
Published: (2025)

Correcting misinformation on social media with a large language model
by: Zhou, Xinyi, et al.
Published: (2024)