Generative AI


Generative AI or generative artificial intelligence refers to a type of AI that can create various types of content including text, audio, music, images, videos, and code. This is powered by large models called foundation models that are trained on massive datasets to perform out-of-the-box tasks including classification, summarization, video and audio comprehension, prediction, Q&A, and more.

Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors

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Oct 02, 2024
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Probabilistic Analysis of Copyright Disputes and Generative AI Safety

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Oct 02, 2024
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From Prohibition to Adoption: How Hong Kong Universities Are Navigating ChatGPT in Academic Workflows

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Oct 02, 2024
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Information-Theoretical Principled Trade-off between Jailbreakability and Stealthiness on Vision Language Models

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Oct 02, 2024
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Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks

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Oct 02, 2024
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Examining the Role of Relationship Alignment in Large Language Models

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Oct 02, 2024
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Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities

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Oct 02, 2024
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Trying to be human: Linguistic traces of stochastic empathy in language models

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Oct 02, 2024
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Generative AI Application for Building Industry

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Oct 01, 2024
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SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios

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Oct 02, 2024
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