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Author

Luyang Kong

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Jul 2026

Reflection or Re-Generation? Why LLM Revision Fails Where Human Revision Succeeds

The Human-LLM Reflection Framework is introduced, a controlled two-pass protocol comparing human and LLM revision under identical conditions across self-, peer-, and cross-agent settings, using an information-theoretic analysis based on per-iteration cross-entropy reduction.

Ye-Fan Tao, Gerald Friedland, Madhusudhanan Chandrasekaran et al. · 0 citations
Preprint Aug 2026

When Is Noise Response Universal? Tokenization as the Hidden Variable in Language Models

The degradation rate across neural models, both sentence embeddings and decoder-only LLMs, is studied, and how consistent it is depends on the scale of the noise: under word-level noise, models with very different architectures decline along nearly the same curve, while under character-level noise they separate.

Ye-Fan Tao, Gerald Friedland, Luyang Kong · 0 citations

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