LandmarkMAS: A Multi-Agent Framework for Symbol Generation

LandmarkMAS is a multi-agent framework for generating symbols through a three-stage pipeline. The framework includes a Grounder Agent for visual grounding, a Designer Agent for initial symbol construction, and a Reviewer Agent for feedback. It was created by zhizhou li and last updated on 2026-04-27.

Use Cases

• Developing multi-agent systems for visual grounding tasks based on the described Grounder Agent.
• Training or benchmarking agents for automated symbol design based on the described Designer Agent.
• Implementing feedback loops for iterative symbol refinement based on the described Reviewer Agent.
• Studying the interaction between perception and symbolic reasoning in AI architectures.

Strengths

• Framework is described with a clear three-stage pipeline involving distinct agent roles.
• The dataset is licensed under CC-BY-4.0, permitting broad reuse with attribution.
• It includes multiple file formats (PY, XLSX, PYC, EXE, CSV) for different implementation needs.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Freshness

Last updated 2026-04-27 09:24:28; freshness should be verified.