Supervised Fine-Tuning (SFT) with high quality Chain-of-Thought (CoT) annotations. Reinforcement Fine-Tuning (RFT) using Grouped Relative Policy Optimization (GRPO) and combined diverse rewards.

The datasets analyzed in this study were obtained from the Genomes to Fields (G2F) initiative (www.genomes2fields.org). The dataset comprises 135 unique maize hybrids ...

Abstract: We present XModeler ${ }^{\text {ML }}$ v3, a multi-level modeling tool that is based on the Flexible Multi-Level Modeling and Execution Language (FMML ${ }^{\mathbf{x}}$). Multi-level ...

President Donald Trump signed an order aimed at thwarting state-level regulation of artificial intelligence through lawsuits and funding cuts, handing a win to tech industry leaders who’ve pressed for ...

Powered by advanced factor research and daily refreshed data, Bloomberg’s MAC3 Risk Model transforms how investors see and manage risk in a multi-asset world. Bloomberg MAC3 gives investors a unified ...

Cursor has for the first time introduced what it claims is a competitive coding model, alongside the 2.0 version of its integrated development environment (IDE) with a new feature that allows running ...

Update as of January 6, 2026: Anthropic models are now available in Microsoft Copilot Studio by default in most geographies. For organizations in the European Union (EU), United Kingdom (UK), and ...

The research introduced a two-phase training process. First, they used supervised fine-tuning (SFT) on high-quality trajectories sampled from Claude-4 Sonnet using rejection sampling, effectively ...

An electronic warfare (EW) team in a hide site deep in the woods notices a suspected enemy frequency. At the same time, an aerial EW platform using the same equipment finds the same signal. With both ...