Tag: causal machine learning
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Cactus: Fast Auto-Regressive Decoding with Speculative Sampling
Discover Cactus, a method that speeds up auto-regressive decoding using constrained acceptance speculative sampling while maintaining output quality.
CURE: Circuit-Aware Unlearning for Privacy in LLM Recs
Discover CURE, a circuit-aware unlearning method enhancing privacy and stability in LLM-based recommendation systems with improved model utility.
MG²-RAG: Efficient Multi-Granularity Graph for Multimodal AI
Discover MG²-RAG, a multi-granularity graph framework enhancing multimodal retrieval and reasoning with faster, cost-effective AI performance.
Generative AI for Video Trailer Creation: Trends & Ethics
Explore how generative AI transforms video trailer creation with advanced models, ethical challenges, and future trends in automated content synthesis.
Learning to Retrieve from Agent Trajectories for AI Search
Discover how training retrieval models on agent trajectories improves search efficiency and accuracy in AI-powered information retrieval systems.