RL Can Also Train Clearer Reasoning Chains
menhguin · x · 2026-07-16
- The shared content discusses the results of a study using only RL, without SFT.
- A notable point made by the author is that even without supervised fine-tuning, reasoning traces can be trained to be more comprehensible and efficient.
- These findings suggest that the structuring of reasoning chains may not entirely depend on SFT; RL itself can foster "cleaner" reasoning behaviors.
More from Research
- OpenAI-style autonomous researchers could become real scientific collaborators — Promptmethus · 2026-07-21
- Soft Clamp cuts tool-call overuse in multi-teacher distillation, from 13.7% to 9.0% — antgroup · 2026-07-21
- ShotPlan adds learnable planning tokens for cinematic multi-shot video generation — Tele-AI · 2026-07-21
- A silicon photonic reservoir chip compensates fiber distortion in real time at 28 Gbps — bravo_abad · 2026-07-21
- A developer maps out six design rules for CLIs that humans and AI agents can both use — yujiezha · 2026-07-21
- GPT 5.6 vs. Claude Fable tested in Dyad AI for Physical AI model tuning — ChrisRackauckas · 2026-07-21