Author

P. Beerel

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#artificial intelligence Preprint Oct 2026

RaReCache: Bridging the Gap in Cross-Model KV Cache Reuse via Rank disagreement-based Selective Recomputation

RaReCache is introduced, a framework that enables a large target model to decode accurately from a cache prefilled by a much smaller source via selective recomputation, establishing an efficient serving paradigm where small models prefill on behalf of massive targets, enabling large models to recompute only critical to...

Sreetama Sarkar, Saptarshi Mitra, Si-Tao Huang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Speculative Macro Commit for Faster Tool-Using Agents

Speculative Macro Commit (SMC) is introduced, a runtime mechanism for a two-tier agent system: a large authoritative actor model produces the official trajectory, while a faster speculative drafter model continuously predicts and executes future action chains on an isolated environment snapshot.

Ze-Yu Liu, Souvik Kundu, P. Beerel · 1 citation

Jul 2026

LTM: Large-scale Terrain Model for Wildfire-prone Landscapes

Accurate 3D terrain maps are essential for emergency response when assessing wildfire hazards. However, wildfire-prone regions often span vast areas where conventional reconstruction methods underperform. Airborne LiDAR systems provide high-resolution terrain data, but they are expensive and infrequently updated. Image...

Xiao Fu, Yue Hu, Meida Chen et al. · arXiv.org · 0 citations