Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Niu, Shuai, Ma, Jing, Lin, Hongzhan, Bai, Liang, Wang, Zhihua, Xu, Yida, Song, Yunya, Yang, Xian |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series
por: Niu, Shuai, et al.
Publicado: (2025)
por: Niu, Shuai, et al.
Publicado: (2025)
RADD: Retrieval-Augmented Discrete Diffusion for Multi-Modal Knowledge Graph Completion
por: Niu, Guanglin, et al.
Publicado: (2026)
por: Niu, Guanglin, et al.
Publicado: (2026)
Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion
por: Niu, Guanglin, et al.
Publicado: (2025)
por: Niu, Guanglin, et al.
Publicado: (2025)
Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning
por: Bi, Jing, et al.
Publicado: (2024)
por: Bi, Jing, et al.
Publicado: (2024)
POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models
por: Shao, Yangguang, et al.
Publicado: (2025)
por: Shao, Yangguang, et al.
Publicado: (2025)
A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects
por: Niu, Guanglin, et al.
Publicado: (2025)
por: Niu, Guanglin, et al.
Publicado: (2025)
The Provenance Gap in Clinical AI: Evidence-Traceable Temporal Knowledge Graphs for Rare Disease Reasoning
por: Ahmed, Md Shamim, et al.
Publicado: (2026)
por: Ahmed, Md Shamim, et al.
Publicado: (2026)
CRISP: Persistent Concept Unlearning via Sparse Autoencoders
por: Ashuach, Tomer, et al.
Publicado: (2025)
por: Ashuach, Tomer, et al.
Publicado: (2025)
FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented Generation
por: Hildebrand, Samuel, et al.
Publicado: (2025)
por: Hildebrand, Samuel, et al.
Publicado: (2025)
Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models
por: Ghinassi, Iacopo, et al.
Publicado: (2024)
por: Ghinassi, Iacopo, et al.
Publicado: (2024)
Luth: Efficient French Specialization for Small Language Models and Cross-Lingual Transfer
por: Lasbordes, Maxence, et al.
Publicado: (2025)
por: Lasbordes, Maxence, et al.
Publicado: (2025)
Merge-Bench: Resolve Merge Conflicts with Large Language Models
por: Schesch, Benedikt, et al.
Publicado: (2026)
por: Schesch, Benedikt, et al.
Publicado: (2026)
Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation
por: Liang, Sheng, et al.
Publicado: (2025)
por: Liang, Sheng, et al.
Publicado: (2025)
Steer-MoE: Efficient Audio-Language Alignment with a Mixture-of-Experts Steering Module
por: Feng, Ruitao, et al.
Publicado: (2025)
por: Feng, Ruitao, et al.
Publicado: (2025)
Automated Bug Triaging using Instruction-Tuned Large Language Models
por: Kiashemshaki, Kiana, et al.
Publicado: (2025)
por: Kiashemshaki, Kiana, et al.
Publicado: (2025)
Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size?
por: Collado-Montañez, Jaime, et al.
Publicado: (2025)
por: Collado-Montañez, Jaime, et al.
Publicado: (2025)
After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in Retrieval-Augmented Generation
por: Dai, Xinbang, et al.
Publicado: (2025)
por: Dai, Xinbang, et al.
Publicado: (2025)
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
por: Chang, Hoyeon, et al.
Publicado: (2024)
por: Chang, Hoyeon, et al.
Publicado: (2024)
On Preserving the Knowledge of Long Clinical Texts
por: Hasan, Mohammad Junayed, et al.
Publicado: (2023)
por: Hasan, Mohammad Junayed, et al.
Publicado: (2023)
EmoS: A High-Fidelity Multimodal Benchmark for Fine-grained Streaming Emotional Understanding
por: Guo, Pengze, et al.
Publicado: (2026)
por: Guo, Pengze, et al.
Publicado: (2026)
Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue
por: Ma, Longxuan, et al.
Publicado: (2024)
por: Ma, Longxuan, et al.
Publicado: (2024)
Have Multimodal Large Language Models (MLLMs) Really Learned to Tell the Time on Analog Clocks?
por: Fu, Tairan, et al.
Publicado: (2025)
por: Fu, Tairan, et al.
Publicado: (2025)
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering
por: Toroghi, Armin, et al.
Publicado: (2024)
por: Toroghi, Armin, et al.
Publicado: (2024)
Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction
por: Celian, Ringwald, et al.
Publicado: (2025)
por: Celian, Ringwald, et al.
Publicado: (2025)
D-COT: Disciplined Chain-of-Thought Learning for Efficient Reasoning in Small Language Models
por: Ubukata, Shunsuke
Publicado: (2026)
por: Ubukata, Shunsuke
Publicado: (2026)
When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
por: Wang, Yongjie, et al.
Publicado: (2025)
por: Wang, Yongjie, et al.
Publicado: (2025)
KSHSeek: Data-Driven Approaches to Mitigating and Detecting Knowledge-Shortcut Hallucinations in Generative Models
por: Liu, Zhongxin, et al.
Publicado: (2025)
por: Liu, Zhongxin, et al.
Publicado: (2025)
Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models
por: Lee, Hwiyeong, et al.
Publicado: (2025)
por: Lee, Hwiyeong, et al.
Publicado: (2025)
Can Large Language Models Imitate Human Speech for Clinical Assessment? LLM-Driven Data Augmentation for Cognitive Score Prediction
por: Ketir, Si-Belkacem Yamine, et al.
Publicado: (2026)
por: Ketir, Si-Belkacem Yamine, et al.
Publicado: (2026)
Evaluating Large Language Models for Zero-Shot Disease Labeling in CT Radiology Reports Across Organ Systems
por: Garcia-Alcoser, Michael E., et al.
Publicado: (2025)
por: Garcia-Alcoser, Michael E., et al.
Publicado: (2025)
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion
por: Niu, Guanglin, et al.
Publicado: (2024)
por: Niu, Guanglin, et al.
Publicado: (2024)
PhysNote: Self-Knowledge Notes for Evolvable Physical Reasoning in Vision-Language Model
por: Zhang, Sinin, et al.
Publicado: (2026)
por: Zhang, Sinin, et al.
Publicado: (2026)
RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
por: Saji, Alan, et al.
Publicado: (2025)
por: Saji, Alan, et al.
Publicado: (2025)
Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
por: Peters, Sydney, et al.
Publicado: (2025)
por: Peters, Sydney, et al.
Publicado: (2025)
Exploration of Augmentation Strategies in Multi-modal Retrieval-Augmented Generation for the Biomedical Domain: A Case Study Evaluating Question Answering in Glycobiology
por: Kocbek, Primož, et al.
Publicado: (2025)
por: Kocbek, Primož, et al.
Publicado: (2025)
Evolve: A Persistent Knowledge Lifecycle for Small Language Models
por: Hovagimian, Dikran
Publicado: (2026)
por: Hovagimian, Dikran
Publicado: (2026)
Controllable Text Generation for Large Language Models: A Survey
por: Liang, Xun, et al.
Publicado: (2024)
por: Liang, Xun, et al.
Publicado: (2024)
UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation
por: Geng, Runpeng, et al.
Publicado: (2025)
por: Geng, Runpeng, et al.
Publicado: (2025)
A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models
por: Christop, Iwona, et al.
Publicado: (2026)
por: Christop, Iwona, et al.
Publicado: (2026)
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
por: Wang, Shuai, et al.
Publicado: (2021)
por: Wang, Shuai, et al.
Publicado: (2021)
Ejemplares similares
-
ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series
por: Niu, Shuai, et al.
Publicado: (2025) -
RADD: Retrieval-Augmented Discrete Diffusion for Multi-Modal Knowledge Graph Completion
por: Niu, Guanglin, et al.
Publicado: (2026) -
Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion
por: Niu, Guanglin, et al.
Publicado: (2025) -
Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning
por: Bi, Jing, et al.
Publicado: (2024) -
POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models
por: Shao, Yangguang, et al.
Publicado: (2025)