Jun 2, 2026 · Artificial Intelligence

RTPrune: Two‑Stage Reading‑Inspired Token Pruning for Efficient DeepSeek‑OCR Inference

The paper presents RTPrune, a token‑pruning technique for DeepSeek‑OCR that exploits a two‑stage reading behavior in LLM decoding, first keeping high‑norm visual tokens and then fusing the rest via optimal‑transport matching with a dynamic pruning‑rate strategy, achieving up to 15% GFLOPs reduction and 18.9% speedup while preserving over 99% OCR accuracy across multiple benchmarks.

DeepSeek-OCROCR efficiencydynamic pruning

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RTPrune: Two‑Stage Reading‑Inspired Token Pruning for Efficient DeepSeek‑OCR Inference

Hulu Beijing

Jan 3, 2020 · Artificial Intelligence

How Dynamically Pruned Message Passing Networks Revolutionize Large‑Scale Knowledge Graph Reasoning

The Hulu AI team’s ICLR‑2020 paper introduces a consciousness‑prior‑driven graph neural network that dynamically prunes message‑passing subgraphs, achieving state‑of‑the‑art results on large‑scale knowledge‑graph completion tasks while improving interpretability and computational efficiency.

AI reasoningGraph Neural NetworkKnowledge Graph

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How Dynamically Pruned Message Passing Networks Revolutionize Large‑Scale Knowledge Graph Reasoning