Thinking with Constructions: A Benchmark and Policy Optimization for Visual-Text Interleaved Geometric Reasoning
#geometric reasoning #visual-text interleaved #benchmark #policy optimization #multimodal AI #reasoning tasks #artificial intelligence
📌 Key Takeaways
- Researchers introduce a new benchmark for geometric reasoning combining visual and textual data.
- The benchmark focuses on interleaved reasoning tasks requiring both image and text understanding.
- A policy optimization method is proposed to improve performance on these complex reasoning tasks.
- The work aims to advance AI capabilities in multimodal geometric problem-solving.
📖 Full Retelling
arXiv:2603.18662v1 Announce Type: new
Abstract: Geometric reasoning inherently requires "thinking with constructions" -- the dynamic manipulation of visual aids to bridge the gap between problem conditions and solutions. However, existing Multimodal Large Language Models (MLLMs) are largely confined to passive inference with static diagrams, lacking the strategic knowledge of when and how to construct effective visual aids. To address this, we present a framework for Visual-Text Interleaved Cha
🏷️ Themes
AI Benchmarking, Geometric Reasoning
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Original Source
arXiv:2603.18662v1 Announce Type: new
Abstract: Geometric reasoning inherently requires "thinking with constructions" -- the dynamic manipulation of visual aids to bridge the gap between problem conditions and solutions. However, existing Multimodal Large Language Models (MLLMs) are largely confined to passive inference with static diagrams, lacking the strategic knowledge of when and how to construct effective visual aids. To address this, we present a framework for Visual-Text Interleaved Cha
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