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AI · arxiv.org · Friday, 24 July 2026

TRSP Architecture Stops Representation Collapse, Boosts LLM Long-Context Accuracy

The paper pinpoints representation collapse as the core obstacle for long-context language models, showing that existing fixes swing between homogenization and isolation extremes. Their Topologically Regularized Side-Path (TRSP) injects a parameter-free triangular box and length-aware gate to balance spectral mixing and rank, delivering up to 50-point gains on extended benchmarks.

Read the source: arxiv.org ↗In the 24 July issue →