Qwen2.5-3B-Instruct

Researchers introduced Know2Guess, a contamination-aware multi-zone benchmark with 1,200 items across five domains to evaluate large language models' ability to distinguish answerable knowledge from a…

Researchers introduced PROPEL, a framework that trains task generators for reinforcement learning by using a lightweight activation probe to predict solver pass rates, avoiding costly solver rollouts.…

Researchers at Qwen2.5-3B-Instruct found that supervised fine-tuning (SFT) causes greater disruption to internal computational circuits and more catastrophic forgetting than reinforcement learning (RL…