2 papers
cs.CL2026
Aryabhata 2: Scaling Reinforcement Learning for Advanced STEM Reasoning
Ritvik Rastogi, Vishal Singh, Tejas Chaudhari +1
Competitive STEM examinations such as JEE and NEET require multi-step symbolic reasoning, precise numerical computation, and deep conceptual understanding across physics, chemistry…
cs.AI2025
Aryabhata: An exam-focused language model for JEE Math
Ritvik Rastogi, Sachin Dharashivkar, Sandeep Varma
We present Aryabhata 1.0, a compact 7B parameter math reasoning model optimized for the Indian academic exam, the Joint Entrance Examination (JEE). Despite rapid progress in large…