#efficient-models News & Analysis

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

2 articles

AIBullisharXiv – CS AI · 15h ago7/10

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GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Post-Training

GraphDancer is a new post-training framework that enables large language models to reason over heterogeneous graph-structured data by combining natural-language reasoning with graph function execution. The two-stage curriculum approach uses structural complexity ordering to teach models to explore and reason over graphs, achieving strong cross-domain generalization with only a 3B parameter backbone.

AINeutralarXiv – CS AI · 15h ago6/10

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DynFrame: Adaptive Reasoning-Driven Multimodal Framework with Dynamic Frame Augmentation for Complex Video Understanding

Researchers introduce DynFrame, an advanced video understanding framework that enables multimodal language models to dynamically select both temporal windows and frame sampling rates during inference. The approach achieves competitive performance with smaller 4B models against larger 7B-8B baselines and sets new state-of-the-art results with its 8B variant across six video understanding benchmarks.