Learning to Solve Hard Problems in RL for LLMs by Never Giving Up
This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2609.13443v1 Announce Type: new Abstract: We demonstrate that training LLMs with RL does not improve performance equally across a dataset. RL shows large improvements on easy problems that an LLM is already good at solving, but small improvements on hard problems. We call this the Matthew Eff…
Read the full story at arXiv cs.LG ↗
Timeline · 2 reports
- 2026-09-15 19:07 · Hacker News Front Page
Learning to solve hard problems in RL for LLMs by never giving up - 2026-09-15 04:00 · arXiv cs.LG
Learning to Solve Hard Problems in RL for LLMs by Never Giving Up