Co-evolving visual tasks keeps model training near its learning frontier

VICO jointly trains a vision-language model and a visual task rewriter that adjusts difficulty using the model’s observed success rate.

Big Tech
Meng Lu · Ligeng Zhu · Olivia Xiao · Yuchen Zhuang · Zihan Wang · Kuncheng Wu · +5 more

Virginia Tech · Cisco · NVIDIA · UChicago · Georgia Tech

Research Digest··3 min read
Lu and colleagues address a weakness of reinforcement learning with verifiable rewards: fixed training tasks eventually become either trivial or effectively impossible, leaving little useful feedback.

VICO jointly trains two vision-language models.

Why this paper

From NVIDIA and 8 others

In one line

Co-evolving visual environments with vision-language models via rollout pass rates improves out-of-domain reasoning by up to 5%.

What we could check

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Research Digest

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