Model Stealing for Low-Rank Language Models Through Reverse Engineering

Model Stealing for Low-Rank Language Models Through Reverse Engineering

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MAIN Challenge

10 of 11

10 of 11

MAIN Challenge

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Model Stealing for Low-Rank Language Models Through Reverse Engineering

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  1. 1 Model Stealing for ANY Low Rank Language Model
  2. 2 Learning Hidden Markov Models
  3. 3 Reverse-Engineer LLMs
  4. 4 Professor of Mathematics MIT
  5. 5 Hidden Markov Models explained
  6. 6 New method
  7. 7 Barycentric Spanner explained
  8. 8 Convex Optimization KL Divergence
  9. 9 Low Rank Distribution explained
  10. 10 MAIN Challenge
  11. 11 The MAIN Mathematical Theorem

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