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#constrained-learning News & Analysis

1 article tagged with #constrained-learning. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

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AINeutralarXiv – CS AI · 10h ago6/10
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mHC-SSM: Manifold-Constrained Hyper-Connections for State Space Language Models with Stream-Specialized Adapters

Researchers introduce mHC-SSM, a novel architecture combining Manifold-Constrained Hyper-Connections with state space language models using stream-specialized adapters. The approach achieves significant perplexity improvements (572.91 to 461.88) on WikiText-2 benchmarks with predictable efficiency tradeoffs in throughput and memory usage.

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