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‎CITATION.cff‎

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cff-version: 1.2.0
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message: "If you use this software or its methodology, please cite it as below."
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title: "SentinelAI: A Cross-Lingual LLM Safety Evaluation Framework"
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version: "1.0.0-pilot"
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date-released: 2026-07-04
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authors:
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- family-names: "Neelapareddigari"
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given-names: "Praneetha"
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repository-code: "https://github.com/praneethaneelapareddigari/SentinelAI"
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license: MIT
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abstract: >
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SentinelAI is a research pipeline for measuring whether open-source LLMs'
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safety alignment (refusal of unsafe requests, resistance to jailbreaks,
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factual reliability) holds consistently across languages. Pilot v1 evaluated
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28 prompts across English, Hindi, Mandarin, Tamil, and Malay against two
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open-source models, and identified concrete limitations in automated
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refusal detection for non-English languages, documented in the accompanying
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technical report and methodology.
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keywords:
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- ai-safety
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- llm-evaluation
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- multilingual-nlp
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- red-teaming
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- jailbreak-detection
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- responsible-ai

‎README.md‎

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# SentinelAI
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![Python](https://img.shields.io/badge/python-3.10%2B-blue) ![License: MIT](https://img.shields.io/badge/license-MIT-green) ![Status](https://img.shields.io/badge/status-Pilot%20v1%20Complete-brightgreen) [![tests](https://github.com/praneethaneelapareddigari/SentinelAI/actions/workflows/tests.yml/badge.svg)](https://github.com/praneethaneelapareddigari/SentinelAI/actions/workflows/tests.yml)
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**A cross-lingual LLM safety evaluation framework for South/Southeast Asian languages.**
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**Status: Pilot v1 complete.** Full writeup: [`reports/SentinelAI_Pilot_v1_Report.pdf`](reports/SentinelAI_Pilot_v1_Report.pdf)

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