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

Cross-model KV-cache reuse remains a key challenge in modern LLM serving. Coding agents and multi-model systems increasingly route a shared context across models: a user may switch models mid-session, or a cascade may escalate a difficult query. Because KV caches contain model-specific representations, each switch typi...

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