title: AlphaSpace: Enabling Robotic Actions through Semantic Tokenization and
    Symbolic Reasoning
summary: This paper presents AlphaSpace, a novel methodology designed to enhance the
  spatial reasoning capabilities of large language models (LLMs) for 3D Cartesian
  space navigation. AlphaSpace employs a semantics-based tokenization strategy,
  encoding height information through specialized semantic tokens, and integrates
  primarily symbolic synthetic reasoning data. This approach enables LLMs to
  accurately manipulate objects by positioning them at specific [x, y, z]
  coordinates. Experimental results demonstrate that AlphaSpace significantly
  outperforms existing models on manipulation subtasks, achieving a total
  accuracy of 66.67%, compared to 37.5% for GPT-4o and 29.17% for Claude 3.5
  Sonnet.
paper_authors._id: 67e2177c77d32fd1ed8a496b
paper_authors.name: Alan Dao
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2025-03-25T08:20:35.578Z
paper_authors._id: 62d7b2339b629105a5d6888a
paper_authors.avatarUrl: /avatars/c3f164fde6b8f9a671890e08ce8a3e75.svg
paper_authors.fullname: Alan Dao
paper_authors.type: user
paper_authors.user: alandao
paper_authors._id: 67e2177c77d32fd1ed8a496c
paper_authors.name: Dinh Bach Vu
paper_authors._id: 67e2177c77d32fd1ed8a496d
paper_authors.name: Bui Quang Huy
paper_title: AlphaSpace: Enabling Robotic Actions through Semantic Tokenization and
    Symbolic Reasoning
paper_summary: This paper presents AlphaSpace, a novel methodology designed to enhance the
  spatial reasoning capabilities of large language models (LLMs) for 3D Cartesian
  space navigation. AlphaSpace employs a semantics-based tokenization strategy,
  encoding height information through specialized semantic tokens, and integrates
  primarily symbolic synthetic reasoning data. This approach enables LLMs to
  accurately manipulate objects by positioning them at specific [x, y, z]
  coordinates. Experimental results demonstrate that AlphaSpace significantly
  outperforms existing models on manipulation subtasks, achieving a total
  accuracy of 66.67%, compared to 37.5% for GPT-4o and 29.17% for Claude 3.5
  Sonnet.
paper_ai_summary: AlphaSpace enhances LLMs' 3D navigation and manipulation through semantics-based tokenization and symbolic reasoning, outperforming existing models in accuracy.
paper_ai_keywords: semantics-based tokenization symbolic synthetic reasoning 3D Cartesian space spatial reasoning large language models LLMs