Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyondthe Base Model?

Does Reinforcement Training Really Teach New Thinking to Big Chat Models?

New training tricks promise to make chat models smarter, but do they really change how they think or just polish old skills.
One method called RLVR was tested on math, coding and visual puzzles, and it seemed to help at first, specially when the model had only one shot.
The study compared RLVR models to their base model by letting them try many times, and odd result showed the base model did better with many tries, so improvements were narrow.
That tell us the extra skill often comes from what model already learned, not from new kind of problem solving, coverage and response variety was limited and results shows a cap.
Another angle, distillation, sometimes did bring new solving patterns from a teacher, so real gains can happen that way.
Bottom line: current RLVR helps in some ways but it don't seem to unlock deep new reasoning, we need new training ideas and longer, richer practice for models to really learn to think different.

Read article comprehensive review in Paperium.net:
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyondthe Base Model?

🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.