Future Extensions
Cross-source consensus on Future Extensions from 1 sources and 4 claims.
1 sources · 4 claims
Uses
Evidence quality
Highlighted claims
- Large language model scaling beyond the translation setup is left as an open empirical question. — Layerwise LQR for Geometry-Aware Optimization of Deep Networks
- The paper identifies alternative divergences such as Renyi divergences as a natural extension. — Layerwise LQR for Geometry-Aware Optimization of Deep Networks
- Diffusion-model settings and implicit architectures such as DEQs and Neural ODEs are proposed as future applications. — Layerwise LQR for Geometry-Aware Optimization of Deep Networks
- LLQR may be useful as a testbed for studying how optimization geometry changes learned solutions. — Layerwise LQR for Geometry-Aware Optimization of Deep Networks