Evaluating Trajectory Features for Routing Final-Layer Attention
cs.LG, cs.AI
Submitted: 2026-10-07
Updated: 2026-10-07
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Trajectory Dynamics in Language Model Hidden States Predict Human Processing Costs Beyond Surprisal
- Compressive Transformers for Long-Range Sequence Modelling
- Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
- When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models
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