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Papers Explained 365: DeepMathDeepMath-103K is a new dataset designed for advancing mathematical reasoning research. It comprises 103,000 mathematical problems with a…14h ago14h ago
Papers Explained 364: OmniMathOmniMath is a comprehensive and challenging benchmark specifically designed to assess LLMs’ mathematical reasoning at the Olympiad level…1d ago1d ago
Papers Explained 363: UltraLongThis work introduces an efficient training recipe for building ultra-long context LLMs from aligned instruct models, pushing the boundaries…2d ago2d ago
Papers Explained 362: Llama-NemotronLlama-Nemotron is an open family of heterogeneous reasoning models available in Nano (8B), Super (49B), and Ultra (253B) sizes, designed…5d ago5d ago
Papers Explained 361: OpenCodeReasoningOpenCodeReasoning is a publicly available synthetic dataset for code reasoning, comprising 736,712 Python code solutions with accompanying…6d ago6d ago
Papers Explained 360: Nemotron CrossThinkNemotron-Crossthink is a framework that systematically incorporates multi-domain corpora, including both synthetic and real-world…May 7May 7
Papers Explained 359: Phi-4-Mini-ReasoningThis paper presents a systematic training recipe for SLMs that consists of four steps:May 6May 6
Papers Explained 358: Phi-4-ReasoningPhi-4-reasoning is a 14-billion parameter reasoning model that achieves strong performance on complex reasoning tasks. It is trained via…May 5May 5
