:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhao, Kun, Dai, Siyuan, Wang, Pan, Song, Jifeng, Ji, Hui, Lin, Chenghua, Zhan, Liang, Tang, Haoteng
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2601.03321
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
di: Zhao, Kun, et al.
Pubblicazione: (2025)

X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation
di: Zhao, Kun, et al.
Pubblicazione: (2024)

Constrained Multiview Representation for Self-supervised Contrastive Learning
di: Dai, Siyuan, et al.
Pubblicazione: (2024)

Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging
di: Dai, Siyuan, et al.
Pubblicazione: (2025)

Deep Models, Shallow Alignment: Uncovering the Granularity Mismatch in Neural Decoding
di: Du, Yang, et al.
Pubblicazione: (2026)

SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation
di: Zhao, Kun, et al.
Pubblicazione: (2024)

R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression
di: Zhao, Kun, et al.
Pubblicazione: (2025)

Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making
di: Dai, Siyuan, et al.
Pubblicazione: (2025)

Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation
di: Yang, Bohao, et al.
Pubblicazione: (2024)

FigEx2: Visual-Conditioned Panel Detection and Captioning for Scientific Compound Figures
di: Song, Jifeng, et al.
Pubblicazione: (2026)

Brain Structural Network Alterations in Alzheimer's Disease: Perspectives from Ethnicity‐Specific Factors
di: Haoteng Tang, et al.
Pubblicazione: (2025)

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
di: Tang, Haoteng, et al.
Pubblicazione: (2024)

DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation
di: Park, Sang-Jun, et al.
Pubblicazione: (2025)

Summarizing Radiology Reports Findings into Impressions
di: de Padua, Raul Salles, et al.
Pubblicazione: (2024)

RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis
di: Li, Haolin, et al.
Pubblicazione: (2025)

A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation
di: Jin, Haibo, et al.
Pubblicazione: (2025)

Finding Challenging Metaphors that Confuse Pretrained Language Models
di: Li, Yucheng, et al.
Pubblicazione: (2024)

ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving
di: Wang, Huimin, et al.
Pubblicazione: (2026)

DDaTR: Dynamic Difference-aware Temporal Residual Network for Longitudinal Radiology Report Generation
di: Song, Shanshan, et al.
Pubblicazione: (2025)

Effective Distillation of Table-based Reasoning Ability from LLMs
di: Yang, Bohao, et al.
Pubblicazione: (2023)

A Resource-Aligned Hybrid Quantum-Classical Framework for Multimodal Face Anti-Spoofing
di: Sun, Wanqi, et al.
Pubblicazione: (2026)

CLARIFID: Improving Radiology Report Generation by Reinforcing Clinically Accurate Impressions and Enforcing Detailed Findings
di: Lee, Kyeongkyu, et al.
Pubblicazione: (2025)

FITA: Fine-grained Image-Text Aligner for Radiology Report Generation
di: Yang, Honglong, et al.
Pubblicazione: (2024)

Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning
di: Zhou, Qin, et al.
Pubblicazione: (2026)

ReproHum #0087-01: Human Evaluation Reproduction Report for Generating Fact Checking Explanations
di: Loakman, Tyler, et al.
Pubblicazione: (2024)

A Heterogeneous Graph Neural Network Fusing Functional and Structural Connectivity for MCI Diagnosis
di: Yin, Feiyu, et al.
Pubblicazione: (2024)

Large-scale Long-tailed Disease Diagnosis on Radiology Images
di: Zheng, Qiaoyu, et al.
Pubblicazione: (2023)

Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent Framework
di: Yang, Bohao, et al.
Pubblicazione: (2024)

Contrastive Learning with Counterfactual Explanations for Radiology Report Generation
di: Li, Mingjie, et al.
Pubblicazione: (2024)

EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models
di: Tamo, J. Ben, et al.
Pubblicazione: (2026)

Self‐Reinforcing Carbon Nanotube Framework with Aligned Network Structure for Flexible and Compact Energy Storage
di: Mingyu Ye, et al.
Pubblicazione: (2025)

Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks
di: Ebeid, Islam Akef, et al.
Pubblicazione: (2025)

Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation
di: Wang, Chenyu, et al.
Pubblicazione: (2024)

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
di: Gu, Difei, et al.
Pubblicazione: (2025)

An Open Source Data Contamination Report for Large Language Models
di: Li, Yucheng, et al.
Pubblicazione: (2023)

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
di: Guo, Siyuan, et al.
Pubblicazione: (2023)

Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
di: Yin, Haoteng, et al.
Pubblicazione: (2024)

RIGOURATE: Quantifying Scientific Exaggeration with Evidence-Aligned Claim Evaluation
di: James, Joseph, et al.
Pubblicazione: (2026)

Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases
di: Loakman, Tyler, et al.
Pubblicazione: (2024)

Reinforcement Learning Improves LLM Accuracy and Reasoning in Disease Classification from Radiology Reports
di: Wei, Yishu, et al.
Pubblicazione: (2026)