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Inference
DeepSWE: Training a Fully Open-sourced, State-of-the-Art Coding Agent by Scaling RL

    Michael Luo*, Naman Jain*, Jaskirat Singh*, Sijun Tan*, Ameen Patel*, Qingyang Wu*, Alpay Ariyak*, Colin Cai*, Tarun Venkat, Shang Zhu, Ben Athiwaratkun, Manan Roongta, Ce Zhang, Li Erran Li, Raluca Ada Popa, Koushik Sen, Ion Stoica

    Chart showing SWE-Bench performance vs model size for various models with DeepSWE-Preview + TTS leading at 59%.
    Agents
    From Zero to One: Building An Autonomous and Open Data Scientist Agent from Scratch

      Federico Bianchi, Shang Zhu, Zain Hasan, Ben Athiwaratkun and James Zou

      Inference
      Model-Preserving Adaptive Rounding with YAQA

        Albert Tseng, Zhaofeng Sun, and Chris De Sa

        Bar chart showing KL divergence for quantized models Llama 3.1 and Gemma 3, highlighting YAQA's lower values.
        Agents
        Mixture-of-Agents Alignment: Harnessing the Collective Intelligence of Open-Source LLMs to Improve Post-Training

          Junlin Wang, Roy Xie, Shang Zhu, Jue Wang, Ben Athiwaratkun, Bhuwan Dhingra, Shuaiwen Leon Song, Ce Zhang, James Zou

          Bar chart comparing baseline, teachers, GPT-4o, and MoAA on AlpacaEval 2 and Arena-Hard scores in percentages.

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