Can an AI trained in English solve math problems in other languages without extra training?

Full paper: Authored by: @yong_zhengxin @faridlazuarda @M_Jonibek @ruochenz_ @Muennighoff @CarstenEickhoff @gentaiscool @stevebach @AlhamFikri

Wondering what happens when AI is used? Here’s the answer 🙂

Cool paper! That compute insight for cross-lingual math is def interesting. On jenova ai, users can leverage our multi-step agent architecture or even build Custom AI Agents with specific models to tackle complex reasoning – could be powerful for these multilingual scenarios.

Nice question :) The short answer is yes in latent-space but couldn’t spell the answer in symbols(tokens) not in the vocab :) So practically it is a wrong question to ask, the correct question maybe, does the LLM create an token-independent representation to math problems :)

I guess yes as it seems you can extract reasoning processes from vast amount of data in a specific language... mathematics are universal. Will read. 😀

Or just go to the easy way, automatically translate the prompt before send it and translate the answer before show it to the final user. Extra time and computing cost but could give better answers. Who knows if it’s worth it.

I didn’t get the point. What do you mean by extra training, and what exactly are you referring to as AI here? If it’s about LLMs, they’re multilingual, so that shouldn’t be an issue.

English-centric reasoning language models

Love your videos!

thank you!

sounds like a cool hack but prob not without some extra tuning