NAVER study: endpoints of truncated reasoning traces suffice for post-training

NAVER AI Lab's new paper finds that training on the endpoints of truncated reasoning traces yields gains comparable to full traces while reducing redundant data, working in both SFT and RL post-training.

2026-09-10 ~ 2026-09-10 · 2 related posts

• NAVER AI Lab Revisits Complete Reasoning Traces for Post-Training in New Paper — kastnerkyle · 2026-09-10
• NAVER AI: Truncated Reasoning Trace Endpoints Beat Full Traces for Post-Training — naver-ai · 2026-09-10