Author

Vivek Gupta

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#natural language process... Jan 2026

ChartAttack: Testing the Vulnerability of LLMs to Malicious Prompting in Chart Generation

ChartAttack is presented, a framework for evaluating how MLLMs use design misleaders to generate charts that induce incorrect interpretations and AttackViz is introduced, a chart question-answering (QA) dataset labeled with effective misleaders and their induced incorrect answers.

Jesús-Germán Ortiz-Barajas, Jonathan Tonglet, Vivek Gupta et al. · arXiv.org · 0 citations

#artificial intelligence Jan 2026

CORE-T: COherent REtrieval of Tables for Text-to-SQL

This work proposes CORE-T, a scalable, training-free framework that enriches tables with LLM-generated purpose metadata and pre-computes a lightweight table-compatibility cache, and uses 1.20x fewer total selection tokens than LLM-intensive baselines.

Hassan Soliman, Vivek Gupta, Dan Roth et al. · arXiv.org · 2 citations · ⚡1