NOTE.md

Thanks for your interest in VisionThink.
On this page, we list the main modified files for your convenience in checking and integrating into your project.

---

📁 Dataset

• verl/utils/dataset/multimodal_dataset.py

---

🚀 Rollout

• verl/trainer/ppo/ray_trainer.py
  Main logic for training.

• verl/workers/rollout/vllm_rollout/vllm_rollout_spmd.py
  Multi-turn rollout logic.

---

🧠 Reward Manager

• verl/workers/reward_manager/naive_multithreads.py
  GPT-based judge for General VQA.

• verl/workers/reward_manager/naive_multithreads_tool.py
  GPT-based judge for General VQA and Efficient Reasoning VLM.

• verl/workers/reward_manager/verifier_reward_manager.py
  Open-source LLM (e.g., Qwen) as judge.

---

🎯 Reward Function

• verl/utils/reward_score/general_qa_gpt.py
  GPT-based scoring for General VQA.

• verl/utils/reward_score/general_qa_tool.py
  GPT-based scoring for General VQA and Efficient Reasoning VLM.

• verl/workers/reward_model/verifier/verifier.py
  Scoring with open-source verifier models like Qwen.