AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work develops a new reinforcement learning signal named ConsensusPR, which directly reduces the reward sparsity of outcome reward across long reasoning trajectories, and introduces ConsensusBench, a novel dataset designed to provide rule-based process-level signals.
This work proposes Efficient Chain-of-Modality Reasoning (ECoM Reasoning), the first framework to introduce compressed reasoning into SLMs, and proposes Progressive Compression, a curriculum-based strategy that gradually trains the model from full-form reasoning to compressed reasoning.
The Jacobian lens (J-lens) has been proposed as a way to read verbalizable representations from language models. However, its principle and meaning lack a detailed and theoretical discussion. We provide a mathematical view of this interpretation and of its assumed causal structure. Besides treating the J-lens as a heur...
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