length-incentivized-exploration

Overcome the shallow exploration trap by explicitly rewarding longer reasoning sequences when models fail to solve problems. Use length-incentivized exploration to enable deeper chain-of-thought reasoning, achieving better test-time scaling and improved generalization across in-domain and out-of-domain tasks.

Independent GitHub snapshot · Automated classification · Original documentation governs