---
license: cc-by-nc-sa-4.0
tags:
  - multilingual
  - semantic-graph
  - cognitive-diversity
  - agent-alignment
datasets:
  - AI-Research-Agent-Team/LIMIT-GRAPH-v1.1
language:
  - en
  - id
  - ar
  - es
---

# 🧠 DCoTAgentAligner Base Model

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

## 🔍 Capabilities

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

## 📊 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              |

## 📁 GitHub + Leaderboard

- [GitHub Repository](https://github.com/AI-Research-Agent-Team/ai_research_agent_DCoTAgentAligner)
- [LIMIT-GRAPH Leaderboard](https://github.com/AI-Research-Agent-Team/LIMIT-GRAPH#leaderboard)

## 🧪 Evaluation Harness

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

## 📜 License

This model is licensed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/).