Papers by Ashish Raj Shekhar

2 papers
Integrity Shield A System for Ethical AI Use & Authorship Transparency in Assessments (2026.eacl-demo)

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Challenge: Existing methods for detecting authorship and short answers are ineffective when students query proprietary black-box systems using instructor-provided documents.
Approach: They propose a document-layer watermarking system that embeds schema-aware, item-level watermarks into assessment PDFs while keeping their human-visible appearance unchanged.
Outcome: The proposed system achieves high prevention and detection reliability across 30 question papers spanning STEM, humanities, and medical reasoning.
GAMED.AI: A Hierarchical Multi-Agent Framework for Automated Educational Game Generation (2026.acl-demo)

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Challenge: GameDAI is a hierarchical multi-agent framework that transforms instructor-provided questions into fully playable, pedagogically grounded educational games validated through formal mechanic contracts.
Approach: They propose a hierarchical multi-agent framework that transforms instructor-provided questions into fully playable, pedagogically grounded educational games validated through formal mechanic contracts.
Outcome: The proposed framework achieves 90% validation pass rate, 98.3% schema compliance, and 73% token reduction over ReAct agents at 0.46 per game.

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