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Math-llava: Bootstrap** mathematical reasoning for multimodal large language models
Large language models (LLMs) have demonstrated impressive reasoning capabilities,
particularly in textual mathematical problem-solving. However, existing open-source image …
particularly in textual mathematical problem-solving. However, existing open-source image …
Recent advances in hate speech moderation: Multimodality and the role of large models
In the evolving landscape of online communication, moderating hate speech (HS) presents
an intricate challenge, compounded by the multimodal nature of digital content. This …
an intricate challenge, compounded by the multimodal nature of digital content. This …
Towards explainable harmful meme detection through multimodal debate between large language models
The age of social media is flooded with Internet memes, necessitating a clear grasp and
effective identification of harmful ones. This task presents a significant challenge due to the …
effective identification of harmful ones. This task presents a significant challenge due to the …
Goat-bench: Safety insights to large multimodal models through meme-based social abuse
The exponential growth of social media has profoundly transformed how information is
created, disseminated, and absorbed, exceeding any precedent in the digital age …
created, disseminated, and absorbed, exceeding any precedent in the digital age …
CofiPara: A coarse-to-fine paradigm for multimodal sarcasm target identification with large multimodal models
Social media abounds with multimodal sarcasm, and identifying sarcasm targets is
particularly challenging due to the implicit incongruity not directly evident in the text and …
particularly challenging due to the implicit incongruity not directly evident in the text and …
CofiPara: A coarse-to-fine paradigm for multimodal sarcasm target identification with large multimodal models
Social media abounds with multimodal sarcasm, and identifying sarcasm targets is
particularly challenging due to the implicit incongruity not directly evident in the text and …
particularly challenging due to the implicit incongruity not directly evident in the text and …
Describe-then-reason: Improving multimodal mathematical reasoning through visual comprehension training
Open-source multimodal large language models (MLLMs) excel in various tasks involving
textual and visual inputs but still struggle with complex multimodal mathematical reasoning …
textual and visual inputs but still struggle with complex multimodal mathematical reasoning …
Mfc-bench: Benchmarking multimodal fact-checking with large vision-language models
Large vision-language models (LVLMs) have significantly improved multimodal reasoning
tasks, such as visual question answering and image captioning. These models embed …
tasks, such as visual question answering and image captioning. These models embed …
Fuser: an enhanced multimodal fusion framework with congruent reinforced perceptron for hateful memes detection
F Wu, B Gao, X Pan, L Li, Y Ma, S Liu, Z Liu - Information Processing & …, 2024 - Elsevier
As a multimodal form of hate speech on social media, hateful memes are more aggressive
and cryptic threats to the real life of humans. Automatic detection of hateful memes is crucial …
and cryptic threats to the real life of humans. Automatic detection of hateful memes is crucial …
Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?
Analogical reasoning plays a critical role in human cognition, enabling us to understand
new concepts by associating them with familiar ones. Previous research in the AI community …
new concepts by associating them with familiar ones. Previous research in the AI community …