Nemotron-CrossThink achieves:
📈 +30.1% on MATH-500, +15.1% on AGIEVAL, +12.8% on MMLU-Pro compared to base LLM
📉 28% fewer tokens per correct answer
🏆 Outperforms math-only blends by training on broader, more diverse reasoning data
Nemotron-CrossThink achieves:
📈 +30.1% on MATH-500, +15.1% on AGIEVAL, +12.8% on MMLU-Pro compared to base LLM
📉 28% fewer tokens per correct answer
🏆 Outperforms math-only blends by training on broader, more diverse reasoning data
➣Curate QA pairs from Common Crawl + open datasets
➣Apply structured templates: multiple-choice + open-ended
➣Filter out unverifiable / ambiguous samples
➣Train LLM with GRPO—a scalable RL algorithm
➣Curate QA pairs from Common Crawl + open datasets
➣Apply structured templates: multiple-choice + open-ended
➣Filter out unverifiable / ambiguous samples
➣Train LLM with GRPO—a scalable RL algorithm
But general purpose reasoning?
❌ No clean answers
❌ No fixed rules
Nemotron-CrossThink addresses these by:
✅ Design verifiable rewards for diverse tasks
✅ Blend structured data from STEM, law, humanities, & more
But general purpose reasoning?
❌ No clean answers
❌ No fixed rules
Nemotron-CrossThink addresses these by:
✅ Design verifiable rewards for diverse tasks
✅ Blend structured data from STEM, law, humanities, & more