A survey on evaluation of multimodal large language models
J Huang, J Zhang - arXiv preprint arXiv:2408.15769, 2024 - arxiv.org
Multimodal Large Language Models (MLLMs) mimic human perception and reasoning
system by integrating powerful Large Language Models (LLMs) with various modality …
system by integrating powerful Large Language Models (LLMs) with various modality …
Benchmark evaluations, applications, and challenges of large vision language models: A survey
Multimodal Vision Language Models (VLMs) have emerged as a transformative technology
at the intersection of computer vision and natural language processing, enabling machines …
at the intersection of computer vision and natural language processing, enabling machines …
Can chatgpt detect deepfakes? a study of using multimodal large language models for media forensics
DeepFakes which refer to AI-generated media content have become an increasing concern
due to their use as a means for disinformation. Detecting DeepFakes is currently solved with …
due to their use as a means for disinformation. Detecting DeepFakes is currently solved with …
Gm-df: Generalized multi-scenario deepfake detection
Existing face forgery detection usually follows the paradigm of training models in a single
domain, which leads to limited generalization capacity when unseen scenarios and …
domain, which leads to limited generalization capacity when unseen scenarios and …
Can We Leave Deepfake Data Behind in Training Deepfake Detector?
J Cheng, Z Yan, Y Zhang, Y Luo, Z Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
The generalization ability of deepfake detectors is vital for their applications in real-world
scenarios. One effective solution to enhance this ability is to train the models with manually …
scenarios. One effective solution to enhance this ability is to train the models with manually …
A survey on multimodal benchmarks: In the era of large ai models
The rapid evolution of Multimodal Large Language Models (MLLMs) has brought substantial
advancements in artificial intelligence, significantly enhancing the capability to understand …
advancements in artificial intelligence, significantly enhancing the capability to understand …
Ffaa: Multimodal large language model based explainable open-world face forgery analysis assistant
The rapid advancement of deepfake technologies has sparked widespread public concern,
particularly as face forgery poses a serious threat to public information security. However …
particularly as face forgery poses a serious threat to public information security. However …
Generalizing deepfake video detection with plug-and-play: Video-level blending and spatiotemporal adapter tuning
Three key challenges hinder the development of current deepfake video detection:(1)
Temporal features can be complex and diverse: how can we identify general temporal …
Temporal features can be complex and diverse: how can we identify general temporal …
Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction
With the rise of sophisticated phishing attacks, there is a growing need for effective and
economical detection solutions. This paper explores the use of large multimodal agents …
economical detection solutions. This paper explores the use of large multimodal agents …
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning
Explainability in artificial intelligence is crucial for restoring trust, particularly in areas like
face forgery detection, where viewers often struggle to distinguish between real and …
face forgery detection, where viewers often struggle to distinguish between real and …