Cover Image

OralGPT-Omni: A Versatile Dental Multimodal Large Language Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hao, Jing, Liang, Yuci, Lin, Lizhuo, Fan, Yuxuan, Zhou, Wenkai, Guo, Kaixin, Ye, Zanting, Sun, Yanpeng, Zhang, Xinyu, Yang, Yanqi, Li, Qiankun, Tang, Hao, Tsoi, James Kit-Hon, Shen, Linlin, Hung, Kuo Feng
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Multimedia
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis
by: Hao, Jing, et al.
Published: (2025)

OralGPT-Plus: Learning to Use Visual Tools via Reinforcement Learning for Panoramic X-ray Analysis
by: Fan, Yuxuan, et al.
Published: (2026)

OralAgent: Integrating Reasoning, Tools, and Knowledge for Interactive Dental Image Analysis
by: Hao, Jing, et al.
Published: (2026)

AVID: A Benchmark for Omni-Modal Audio-Visual Inconsistency Understanding via Agent-Driven Construction
by: Chen, Zixuan, et al.
Published: (2026)

OmniTrace: A Unified Framework for Generation-Time Attribution in Omni-Modal LLMs
by: Yan, Qianqi, et al.
Published: (2026)

Dental-TriageBench: Benchmarking Multimodal Reasoning for Hierarchical Dental Triage
by: He, Ziyi, et al.
Published: (2026)

WorldGPT: Empowering LLM as Multimodal World Model
by: Ge, Zhiqi, et al.
Published: (2024)

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination
by: Chen, Junzhe, et al.
Published: (2025)

EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot
by: Fei, Hao, et al.
Published: (2024)

FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
by: Chen, Qian, et al.
Published: (2026)

Audio-Omni: Extending Multi-modal Understanding to Versatile Audio Generation and Editing
by: Tian, Zeyue, et al.
Published: (2026)

IWN: Image Watermarking Based on Idempotency
by: Deng, Kaixin
Published: (2024)

Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction
by: Zhang, Meishan, et al.
Published: (2024)

OmniMER: Auxiliary-Enhanced LLM Adaptation for Indonesian Multimodal Emotion Recognition
by: Yan, Xueming, et al.
Published: (2025)

Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark
by: Zhang, Han, et al.
Published: (2025)

Omni2Sound: Towards Unified Video-Text-to-Audio Generation
by: Dai, Yusheng, et al.
Published: (2026)

Omni-Captioner: Data Pipeline, Models, and Benchmark for Omni Detailed Perception
by: Ma, Ziyang, et al.
Published: (2025)

Differential Mental Disorder Detection with Psychology-Inspired Multimodal Stimuli
by: Zhou, Zhiyuan, et al.
Published: (2026)

Multimodal Large Language Models for Medicine: A Comprehensive Survey
by: Ye, Jiarui, et al.
Published: (2025)

Modeling the Popularity of Events on Web by Sparsity and Mutual-Excitation Guided Graph Neural Network
by: Deng, Jiaxin, et al.
Published: (2024)

LongInsightBench: A Comprehensive Benchmark for Evaluating Omni-Modal Models on Human-Centric Long-Video Understanding
by: Han, ZhaoYang, et al.
Published: (2025)

AV-EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Omni-modal LLMS with Audio-visual Cues
by: Zhou, Dingkun, et al.
Published: (2025)

Voices, Faces, and Feelings: Multi-modal Emotion-Cognition Captioning for Mental Health Understanding
by: Zhou, Zhiyuan, et al.
Published: (2026)

Dependency Structure Augmented Contextual Scoping Framework for Multimodal Aspect-Based Sentiment Analysis
by: Liu, Hao, et al.
Published: (2025)

Multimodal Representation Learning and Fusion
by: Jin, Qihang, et al.
Published: (2025)

Multimodal Infusion Tuning for Large Models
by: Sun, Hao, et al.
Published: (2024)

LungCURE: Benchmarking Multimodal Real-World Clinical Reasoning for Precision Lung Cancer Diagnosis and Treatment
by: Hao, Fangyu, et al.
Published: (2026)

OmniGAIA: Towards Native Omni-Modal AI Agents
by: Li, Xiaoxi, et al.
Published: (2026)

Interpretable Concept-based Deep Learning Framework for Multimodal Human Behavior Modeling
by: Li, Xinyu, et al.
Published: (2025)

Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition
by: Zhou, Qianrui, et al.
Published: (2023)

Multimodal Classification and Out-of-distribution Detection for Multimodal Intent Understanding
by: Zhang, Hanlei, et al.
Published: (2024)

Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning
by: Tang, Hao, et al.
Published: (2025)

ArchGPT: Understanding the World's Architectures with Large Multimodal Models
by: Wang, Yuze, et al.
Published: (2025)

Beyond Patches: Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation
by: Cai, Haonan, et al.
Published: (2026)

Dark Side of Modalities: Reinforced Multimodal Distillation for Multimodal Knowledge Graph Reasoning
by: Zhao, Yu, et al.
Published: (2025)

MInD: Improving Multimodal Sentiment Analysis via Multimodal Information Disentanglement
by: Dai, Weichen, et al.
Published: (2024)

Feedback-Driven Rate Control for Learned Video Compression
by: Xu, Zhiheng, et al.
Published: (2026)

Rethinking Vision Transformer for Large-Scale Fine-Grained Image Retrieval
by: Jiang, Xin, et al.
Published: (2025)

CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model
by: Luo, Yuxuan, et al.
Published: (2025)

ChronusOmni: Improving Time Awareness of Omni Large Language Models
by: Chen, Yijing, et al.
Published: (2025)