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CompetitionCompleted
Viettel AI Race 2025
Competed solo in the NLP track of Viettel AI Race 2025, building a pipeline for complex PDF table extraction, numerical data retrieval, and multiple-choice QA. Achieved Top 5 in Round 1 as a solo competitor among team-based entries.
Key Details
Complex PDF table extraction preserving multi-level headers and merged cells via coordinate-based bounding box grouping.
Numeric normalization pipeline handling diverse formatting conventions across financial and technical document types.
Chain-of-thought prompting for multi-step numerical reasoning over extracted tabular data.
Constrained answer selection strategy reducing hallucination on borderline numerical comparisons.
Highlights
- •Top 5 in Round 1 as a solo competitor
- •Complex PDF table reconstruction from coordinates
- •Chain-of-thought numerical reasoning
Technologies
PythonPyMuPDFGoogle GeminiLangChainPandas