Image de couverture de livre

Towards Transparent AI: A Survey on Explainable Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Palikhe, Avash, Yu, Zhenyu, Wang, Zichong, Zhang, Wenbin
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Towards Transparent AI: A Survey on Explainable Language Models
par: Palikhe, Avash, et autres
Publié: (2025)

Datasets for Fairness in Language Models: An In-Depth Survey
par: Zhang, Jiale, et autres
Publié: (2025)

AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
par: Yin, Zhipeng, et autres
Publié: (2025)

Fairness Definitions in Language Models Explained
par: Yin, Zhipeng, et autres
Publié: (2024)

Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World Applications
par: Yazdani, Shamim, et autres
Publié: (2025)

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability
par: Shu, Dong, et autres
Publié: (2025)

Trajectory Prediction Meets Large Language Models: A Survey
par: Xu, Yi, et autres
Publié: (2025)

Video Understanding with Large Language Models: A Survey
par: Tang, Yolo Y., et autres
Publié: (2023)

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models
par: Li, Yunxin, et autres
Publié: (2025)

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training
par: Nie, Yuxiang, et autres
Publié: (2025)

A Survey on Agentic Multimodal Large Language Models
par: Yao, Huanjin, et autres
Publié: (2025)

VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment
par: Li, Lei, et autres
Publié: (2024)

Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving
par: Li, Yue, et autres
Publié: (2025)

A Survey on Evaluation of Multimodal Large Language Models
par: Huang, Jiaxing, et autres
Publié: (2024)

Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration
par: Yang, Honglong, et autres
Publié: (2025)

Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI
par: Amon, Archer, et autres
Publié: (2024)

Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization
par: Zhang, Zefeng, et autres
Publié: (2025)

Towards Efficient Large Vision-Language Models: A Comprehensive Survey on Inference Strategies
par: Pathak, Surendra, et autres
Publié: (2026)

ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation
par: Wu, Mengyang, et autres
Publié: (2024)

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
par: Sun, Weigao, et autres
Publié: (2025)

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models
par: Luo, Gen, et autres
Publié: (2025)

A Survey on Benchmarks of Multimodal Large Language Models
par: Li, Jian, et autres
Publié: (2024)

A Survey on Hallucination in Large Vision-Language Models
par: Liu, Hanchao, et autres
Publié: (2024)

Toward Interactive Regional Understanding in Vision-Large Language Models
par: Lee, Jungbeom, et autres
Publié: (2024)

DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
par: Yang, Zongxin, et autres
Publié: (2024)

Towards Explainable Fake Image Detection with Multi-Modal Large Language Models
par: Ji, Yikun, et autres
Publié: (2025)

ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter
par: Yuan, Zhengqing, et autres
Publié: (2023)

DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes
par: Wang, Zhaowei, et autres
Publié: (2024)

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models
par: Prottasha, Nusrat Jahan, et autres
Publié: (2025)

VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models
par: Zhang, Ce, et autres
Publié: (2025)

Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models
par: Zhang, Yue, et autres
Publié: (2024)

Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
par: Ju, Tianjie, et autres
Publié: (2025)

Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings
par: Agrawal, Aakriti, et autres
Publié: (2025)

SAISA: Towards Multimodal Large Language Models with Both Training and Inference Efficiency
par: Yuan, Qianhao, et autres
Publié: (2025)

Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models
par: Xu, Jiacong, et autres
Publié: (2025)

PROGRESSLM: Towards Progress Reasoning in Vision-Language Models
par: Zhang, Jianshu, et autres
Publié: (2026)

Can Large Vision-Language Models Understand Multimodal Sarcasm?
par: Wang, Xinyu, et autres
Publié: (2025)

Personalized Multimodal Large Language Models: A Survey
par: Wu, Junda, et autres
Publié: (2024)

UniChange: Unifying Change Detection with Multimodal Large Language Model
par: Zhang, Xu, et autres
Publié: (2025)

MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception
par: Wang, Yuhao, et autres
Publié: (2024)