IFEval

A study from arXiv (arXiv:2608.00220v1) shows that on-policy reinforcement learning with verifiable rewards (RLVR) can improve the current objective while making successful behaviors for later objecti…

WasmAgent introduces a framework that converts agent execution traces into training data for supervised fine-tuning (SFT) and direct preference optimization (DPO) without human labeling. Its complianc…

Researchers developed VibeThinker-3B, a 3-billion-parameter language model that achieves reasoning performance matching or exceeding models orders of magnitude larger, scoring 94.3 on AIME26 and 80.2 …