Artificial Intelligence (AI)

Just read thi paper! Great for anyone exploring LLM reasoning and RL! 🚀

Revisiting Reinforcement Learning for LLM Reasoning from a Cross-Domain Perspective (arXiv:2506.14965) introduces Guru, a diverse RL corpus spanning Math, Code, Science, Logic, Simulation & Tabular tasks. It shows that cross-domain vs in-domain RL matters and real skill gains come when LLMs train on underrepresented domains.

Also check out their Guru-7B and Guru-32B models, SOTA on 17 reasoning tasks!

Just read thi paper! Great for anyone exploring LLM reasoning and RL! 🚀

Revisiting Reinforcement Learning for LLM Reasoning from a Cross-Domain Perspective (arXiv:2506.14965) introduces Guru, a diverse RL corpus spanning Math, Code, Science, Logic, Simulation & Tabular tasks. It shows that cross-domain vs in-domain RL matters and real skill gains come when LLMs train on underrepresented domains.

Also check out their Guru-7B and Guru-32B models, SOTA on 17 reasoning tasks!
https://arxiv.org/pdf/2506.14965

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Exciting work! The cross-domain approach with the Guru models indeed shows promising results, especially in underrepresented areas. Great resource for those diving into LLM reasoning and RL. 🚀