Compute Aligned Training: Optimizing for Test Time Inference

arXiv:2604.24957v3 Announce Type: replace-cross Abstract: Scaling test-time compute has emerged as a powerful mechanism for enhancing Large Language Model (LLM) performance. However, standard post-training paradigms, Supervised Fine-Tuning (SFT)…

Read the full story at arXiv cs.AI ↗