ReelFramer: Human-AI Co-Creation for News-to-Video Translation
ReelFramer is a human-AI co-creative system that supports journalists in creating news reels by transforming print articles into scripts and storyboards, enabling exploration of multiple narrative framings and foundational details.
WaterMax: Breaking the LLM Watermark Detectability-Robustness-Quality Trade-off
WaterMax achieves high detectability and quality for watermarked text without modifying the original LLM.
ProMoAI: Process Modeling Tool with Generative AI
ProMoAI leverages Large Language Models to automate process model generation, optimization, and refinement, simplifying complex workflows for non-experts.
Edge Computing and Federated Learning for Recommendation Systems in Cloud Networks
Edge computing and federated learning offer a transformative approach to enhancing recommendation systems in cloud networks.
AIx Speed: Optimizing Playback Speed for Speech Recognition Models
시스템은 사람이 이해할 수 있는 범위 내에서 비디오 및 오디오의 재생 속도를 자동 및 유연하게 조정합니다.
AI Generation and Copyright: Understanding the Complexities
Generative AI technology raises complex legal issues related to copyright, requiring a detailed framework for analysis.
Prompt-Based Generative AI: Ethical Concerns and Creative Impact
Generative AI raises ethical concerns and impacts human creativity.
Algogens: Integrating Generative AI with Algorithmic Frameworks by Amir Shachar
알고젠의 소개와 AI 및 알고리즘 프레임워크 통합
LLM-PQ: Efficient LLM Serving on Heterogeneous Clusters
Large-scale language models (LLMs) can be efficiently served on heterogeneous GPU clusters using adaptive model quantization and phase-aware partitioning.
AI-Augmented Brainwriting: Investigating the Use of LLMs in Group Ideation
Integrating LLMs in group Brainwriting enhances ideation and evaluation processes.
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