MLlm-DR: Towards Explainable Depression Recognition with MultiModal Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Wei, Chen, Juan, Zhu, En, Cheng, Wenhong, Li, YunPeng, Wang, Yanbo J. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Piculet: Specialized Models-Guided Hallucination Decrease for MultiModal Large Language Models
by: Wang, Kohou, et al.
Published: (2024)
by: Wang, Kohou, et al.
Published: (2024)
MM-MoralBench: A MultiModal Moral Evaluation Benchmark for Large Vision-Language Models
by: Yan, Bei, et al.
Published: (2024)
by: Yan, Bei, et al.
Published: (2024)
Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models
by: Zeng, Zhen, et al.
Published: (2024)
by: Zeng, Zhen, et al.
Published: (2024)
ADMC: Attention-based Diffusion Model for Missing Modalities Feature Completion
by: Zhang, Wei, et al.
Published: (2025)
by: Zhang, Wei, et al.
Published: (2025)
From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding
by: Zou, Heqing, et al.
Published: (2024)
by: Zou, Heqing, et al.
Published: (2024)
MMCORE: MultiModal COnnection with Representation Aligned Latent Embeddings
by: Li, Zijie, et al.
Published: (2026)
by: Li, Zijie, et al.
Published: (2026)
Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Character
by: Ma, Siyuan, et al.
Published: (2024)
by: Ma, Siyuan, et al.
Published: (2024)
JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks
by: Luo, Weidi, et al.
Published: (2024)
by: Luo, Weidi, et al.
Published: (2024)
Towards Explainable Traffic Flow Prediction with Large Language Models
by: Guo, Xusen, et al.
Published: (2024)
by: Guo, Xusen, et al.
Published: (2024)
On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks
by: Bi, Ting, et al.
Published: (2025)
by: Bi, Ting, et al.
Published: (2025)
M2R2: MultiModal Robotic Representation for Temporal Action Segmentation
by: Sliwowski, Daniel, et al.
Published: (2025)
by: Sliwowski, Daniel, et al.
Published: (2025)
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
by: Zhang, Zongyun, et al.
Published: (2025)
by: Zhang, Zongyun, et al.
Published: (2025)
SoupLM: Model Integration in Large Language and Multi-Modal Models
by: Bai, Yue, et al.
Published: (2024)
by: Bai, Yue, et al.
Published: (2024)
ExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language Models
by: Ma, Bo, et al.
Published: (2025)
by: Ma, Bo, et al.
Published: (2025)
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
by: Peng, Cheng, et al.
Published: (2023)
by: Peng, Cheng, et al.
Published: (2023)
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models
by: Peng, Mingxing, et al.
Published: (2024)
by: Peng, Mingxing, et al.
Published: (2024)
Early Joint Learning of Emotion Information Makes MultiModal Model Understand You Better
by: Ge, Mengying, et al.
Published: (2024)
by: Ge, Mengying, et al.
Published: (2024)
FUSE : Failure-aware Usage of Subagent Evidence for MultiModal Search and Recommendation
by: Vatsa, Tushar, et al.
Published: (2025)
by: Vatsa, Tushar, et al.
Published: (2025)
LUMIA: Linear probing for Unimodal and MultiModal Membership Inference Attacks leveraging internal LLM states
by: Ibanez-Lissen, Luis, et al.
Published: (2024)
by: Ibanez-Lissen, Luis, et al.
Published: (2024)
MultiModal-Learning for Predicting Molecular Properties: A Framework Based on Image and Graph Structures
by: Wang, Zhuoyuan, et al.
Published: (2023)
by: Wang, Zhuoyuan, et al.
Published: (2023)
Towards Explainable Temporal Reasoning in Large Language Models: A Structure-Aware Generative Framework
by: Jiang, Zihao, et al.
Published: (2025)
by: Jiang, Zihao, et al.
Published: (2025)
Towards Explainable Conversational AI for Early Diagnosis with Large Language Models
by: Tabassum, Maliha, et al.
Published: (2025)
by: Tabassum, Maliha, et al.
Published: (2025)
Depression Detection on Social Media with Large Language Models
by: Lan, Xiaochong, et al.
Published: (2024)
by: Lan, Xiaochong, et al.
Published: (2024)
Towards Generalist Prompting for Large Language Models by Mental Models
by: Guan, Haoxiang, et al.
Published: (2024)
by: Guan, Haoxiang, et al.
Published: (2024)
From Implicit to Explicit: Enhancing Self-Recognition in Large Language Models
by: Zhou, Yinghan, et al.
Published: (2025)
by: Zhou, Yinghan, et al.
Published: (2025)
Flexible Realignment of Language Models
by: Zhu, Wenhong, et al.
Published: (2025)
by: Zhu, Wenhong, et al.
Published: (2025)
Unlocking the Potential of Large Language Models for Explainable Recommendations
by: Luo, Yucong, et al.
Published: (2023)
by: Luo, Yucong, et al.
Published: (2023)
Optimizing Psychological Counseling with Instruction-Tuned Large Language Models
by: Li, Wenjie, et al.
Published: (2024)
by: Li, Wenjie, et al.
Published: (2024)
GLIMPSE: Holistic Cross-Modal Explainability for Large Vision-Language Models
by: Shen, Guanxi
Published: (2025)
by: Shen, Guanxi
Published: (2025)
MDD-LLM: Towards Accuracy Large Language Models for Major Depressive Disorder Diagnosis
by: Sha, Yuyang, et al.
Published: (2025)
by: Sha, Yuyang, et al.
Published: (2025)
Depression Detection and Analysis using Large Language Models on Textual and Audio-Visual Modalities
by: Tank, Chayan, et al.
Published: (2024)
by: Tank, Chayan, et al.
Published: (2024)
Multi-Modal Retrieval For Large Language Model Based Speech Recognition
by: Kolehmainen, Jari, et al.
Published: (2024)
by: Kolehmainen, Jari, et al.
Published: (2024)
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
by: Shen, ChengAo, et al.
Published: (2025)
by: Shen, ChengAo, et al.
Published: (2025)
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
by: Lin, Hongzhan, et al.
Published: (2024)
by: Lin, Hongzhan, et al.
Published: (2024)
Towards Explainable Evolution Strategies with Large Language Models
by: Baumann, Jill, et al.
Published: (2024)
by: Baumann, Jill, et al.
Published: (2024)
SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation
by: Chen, Yi-Chia, et al.
Published: (2024)
by: Chen, Yi-Chia, et al.
Published: (2024)
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval
by: Xu, Mingjun, et al.
Published: (2025)
by: Xu, Mingjun, et al.
Published: (2025)
Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning
by: Peng, Cheng, et al.
Published: (2025)
by: Peng, Cheng, et al.
Published: (2025)
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
by: Wei, Tianxin, et al.
Published: (2024)
by: Wei, Tianxin, et al.
Published: (2024)
Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models
by: Luo, Siqi, et al.
Published: (2026)
by: Luo, Siqi, et al.
Published: (2026)
Similar Items
-
Piculet: Specialized Models-Guided Hallucination Decrease for MultiModal Large Language Models
by: Wang, Kohou, et al.
Published: (2024) -
MM-MoralBench: A MultiModal Moral Evaluation Benchmark for Large Vision-Language Models
by: Yan, Bei, et al.
Published: (2024) -
Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models
by: Zeng, Zhen, et al.
Published: (2024) -
ADMC: Attention-based Diffusion Model for Missing Modalities Feature Completion
by: Zhang, Wei, et al.
Published: (2025) -
From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding
by: Zou, Heqing, et al.
Published: (2024)