UniSD unifies self-distillation components for autoregressive LLMs and its full integrated version improves base models by 5.4 points and baselines by 2.8 points across six benchmarks.
Green ai.Communications of the ACM, 63(12):54–63, 2020
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Extreme Quantum Cognition Machines combine quantum reservoir-style evolution with a dynamical attention mechanism in the Hamiltonian to produce robust nonlinear embeddings for decision making from noisy training data.
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UniSD: Towards a Unified Self-Distillation Framework for Large Language Models
UniSD unifies self-distillation components for autoregressive LLMs and its full integrated version improves base models by 5.4 points and baselines by 2.8 points across six benchmarks.
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Extreme Quantum Cognition Machines for Deliberative Decision Making
Extreme Quantum Cognition Machines combine quantum reservoir-style evolution with a dynamical attention mechanism in the Hamiltonian to produce robust nonlinear embeddings for decision making from noisy training data.