TIGER-AI-Lab / TIGER-AI-Lab/VideoScore2

Qwen3VL as base model

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Dominant language
Python
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Description

Thank you for your outstanding work. I've noticed that the recently released Qwen3VL demonstrates significantly enhanced base model capabilities compared to Qwen2.5VL. Have you considered training a more powerful evaluation model using Qwen3VL as the base model and open-sourcing it?

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files, tests, or entry points are named. Start by reviewing the current evaluation model and its Qwen2.5VL base, then compare the feasibility of using Qwen3VL; done would require a decided training plan and an open-sourced evaluation model.

Written by the indexing model from the issue text.

Assessment

Domain
ai, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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