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News/DUEL: Adversarial Self-Play for Multimodal Reasoning
arxiv
PublishedMay 26, 2026 at 4:00 AM
—neutral

DUEL: Adversarial Self-Play for Multimodal Reasoning

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arXiv:2605.24794v1 Announce Type: cross Abstract: Reinforcement learning (RL) has emerged as an effective paradigm for improving the reasoning capability of vision-language models (VLMs). However, RL-based optimization typically depends on costly high-quality annotations that are difficult to scale.

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