source_code/README.md

Representative source code for VR and VRP training

This folder provides representative source code for Qwen3-0.6B noSFT training under PPO and GRPO with VR and VRP rewards.

The released notebooks correspond to the reward construction described in the paper:

• VR uses the base verifier reward.
• VRP extends VR with hard gate checking and soft penalty shaping.
• MultiEvalSumViet2 outputs scores in the order Faithfulness, Coherence, and Relevance.
• The scalar reward uses 0.5F + 0.3R + 0.2C.
• The VRP hard gate uses only Faithfulness, Coherence, Relevance, and length score.

Files:

• ppo_qwen3_06b_noSFT_VR_fulltrain.ipynb: PPO with VR.
• ppo_qwen3_06b_noSFT_VRP_fulltrain.ipynb: PPO with VRP.
• grpo_qwen3_06b_noSFT_VR_fulltrain.ipynb: GRPO with VR.
• grpo_qwen3_06b_noSFT_VRP_fulltrain.ipynb: GRPO with VRP.

These scripts use the full training file after removing examples with missing source articles. Other model families use the same reward construction with model specific configuration changes.