Somshubra Majumdar

Achieving a score of 535.4, the Ultra-CC model not only surpassed the gold threshold but also outperformed the highest-scoring human contestant in competitive programming for the first time.

Open-SWE-Traces reveals that a hybrid approach to trajectory data can significantly boost the reasoning capabilities of software engineering agents.

Achieving six times the inference throughput of current LLMs while maintaining accuracy, Nemotron 3 Ultra redefines performance benchmarks for agentic reasoning tasks.

Nemotron 3 Super proves you can achieve comparable accuracy to existing 120B models, but with significantly higher inference throughput, by combining Mamba, Attention, and Mixture-of-Experts.

Open-source models can now solve 62% of SWE-bench problems, rivaling proprietary models, thanks to a novel two-stage training approach that first learns code semantics without execution, then refines with execution feedback.