Papers with RLVR approaches
Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error (2026.acl-long)
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| Challenge: | Existing approaches to RLVR train LMs based on their own on-policy responses and are constrained by the initial capability of LM. |
| Approach: | They propose an approach that hints LMs with their self-made mistakes without external guidance. |
| Outcome: | The proposed approach outperforms the normal group relative policy optimization and requires no external guidance. |