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.

Future of Information Retrieval Research in the Age of Generative AI

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Dec 03, 2024
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Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks

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Dec 03, 2024
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Scaffold or Crutch? Examining College Students' Use and Views of Generative AI Tools for STEM Education

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Dec 03, 2024
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HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset

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Dec 03, 2024
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Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback

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Dec 03, 2024
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ArtBrain: An Explainable end-to-end Toolkit for Classification and Attribution of AI-Generated Art and Style

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Dec 02, 2024
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Diffusion models learn distributions generated by complex Langevin dynamics

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Dec 02, 2024
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On the Privacy, Security, and Trustworthy for Distributed Wireless Large AI Model (WLAM)

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Dec 03, 2024
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Generative AI-based data augmentation for improved bioacoustic classification in noisy environments

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Dec 02, 2024
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Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data

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Dec 02, 2024
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