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.

Understanding and Supporting Formal Email Exchange by Answering AI-Generated Questions

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Feb 06, 2025
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Detecting Backdoor Attacks via Similarity in Semantic Communication Systems

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Feb 06, 2025
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Brief analysis of DeepSeek R1 and its implications for Generative AI

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Feb 05, 2025
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Can Grammarly and ChatGPT accelerate language change? AI-powered technologies and their impact on the English language: wordiness vs. conciseness

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Feb 06, 2025
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Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing

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Feb 05, 2025
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Controllable GUI Exploration

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Feb 05, 2025
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YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment

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Feb 05, 2025
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Membership Inference Attack Should Move On to Distributional Statistics for Distilled Generative Models

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Feb 05, 2025
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ECM: A Unified Electronic Circuit Model for Explaining the Emergence of In-Context Learning and Chain-of-Thought in Large Language Model

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Feb 05, 2025
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Brief analysis of DeepSeek R1 and it's implications for Generative AI

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Feb 04, 2025
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