multilingual
semantic-graph
cognitive-diversity
agent-alignment

🧠 DCoTAgentAligner Base Model

This model aligns diverse cognitive reasoning styles across multilingual corpora using semantic graph vocabularies. It supports English, Indonesian, Arabic, and Spanish.

πŸ” Capabilities

  • Chain-of-thought generation with style control
  • Semantic graph alignment via LIMIT-GRAPH
  • Multilingual adaptation with cultural hooks
  • Evaluation-ready for leaderboard submission

πŸ“Š Benchmark Results

Language Accuracy Diversity Index Graph Consistency
English 0.87 0.78 0.82
Indonesian 0.85 0.75 0.80
Arabic 0.83 0.72 0.79

πŸ“ GitHub + Leaderboard

πŸ§ͺ Evaluation Harness

Use benchmark.py from the repo to validate your agent before submission.

πŸ“œ License

This model is licensed under CC BY-NC-SA 4.0.

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