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#controllable-ai News & Analysis

2 articles tagged with #controllable-ai. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Apr 77/10
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One Model for All: Multi-Objective Controllable Language Models

Researchers introduce Multi-Objective Control (MOC), a new approach that trains a single large language model to generate personalized responses based on individual user preferences across multiple objectives. The method uses multi-objective optimization principles in reinforcement learning from human feedback to create more controllable and adaptable AI systems.

AIBullisharXiv – CS AI · Mar 46/102
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Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models

Researchers introduce Frame Guidance, a training-free method for controllable video generation using diffusion models. The technique enables fine-grained control over video generation through frame-level signals like keyframes and style references without requiring expensive fine-tuning of large-scale models.