Papers by Seungbeom Lee

2 papers
Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey (2026.findings-eacl)

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Challenge: Plane geometry problem solving has gained significant attention as a benchmark to assess the multi-modal reasoning capabilities of large vision-language models.
Approach: They present a systematic review of existing work in PGPS and summarize their results.
Outcome: The proposed frameworks are compared with existing frameworks and analyze them according to their architectural designs.
GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder (2025.findings-emnlp)

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Challenge: GeoDANO is a geometric vision-language model with a domain-agnostic vision encoder . it is currently limited to recognizing geometric features in general-purpose VLMs .
Approach: They propose a geometric vision-language model with a domain-agnostic vision encoder for plane geometry problems.
Outcome: The proposed model outperforms vision encoders in recognizing geometric features . it outperformed specialized methods for plane geometry problems and GPT-4o on MathVerse .

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