Qwen3-VL-Thinking

Researchers propose AXPO (Agent eXplorative Policy Optimization), a reinforcement learning method that addresses the Thinking-Acting Gap in multimodal agentic reasoning by resampling tool calls for al…

Researchers introduced a novel think-answer distillation framework that masks salient reasoning prefixes to force compact vision-language models to anchor their thinking on visual evidence, reducing v…