Attention deficit reorder: how China’s AI start-ups are rewiring the way models remember
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inkdroid.org·8h
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[D] What use is machine learning theory when application has succeeded without theory?
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Vibe Coding vs. Natural Language Development
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So-called reasoning models are more efficient but not more capable than regular LLMs, study finds
the-decoder.com·4d
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A graph neural network model for inferring interindividual variation from experimental biological data
nature.com·4d
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Rectify Evaluation Preference: Improving LLMs' Critique on Math Reasoning via Perplexity-aware Reinforcement Learning
arxiv.org·2d
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Remember Me: Bridging the Long-Range Gap in LVLMs with Three-Step Inference-Only Decay Resilience Strategies
arxiv.org·2d
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(PR) NVIDIA Wins Every MLPerf Training v5.1 Benchmark
techpowerup.com·3d
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NOAH: Benchmarking Narrative Prior driven Hallucination and Omission in Video Large Language Models
arxiv.org·5d
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