A selection of ongoing and past research projects.

Intent-Guided Tabular Explainability (ASU)

Developing an agent-driven framework that combines domain rubrics with multimodal reasoning to generate expert-aligned table explanations and identify structural or semantic issues.

Chart Edit Evaluation Using Agentic Assessment (ASU)

Building a systematic agent-based evaluation pipeline for chart edits, assessing correctness, semantic fidelity, and visual consistency.

Detecting & Mitigating Misleading Charts with MLLM Agents (ASU | UKP)

Investigating how MLLMs misinterpret charts and building an agentic system that detects, explains, and corrects misleading visualizations.

Reference-Based Image Quality Evaluation for Generative Models (ASU)

Designing a holistic and reproducible metric for generative image evaluation that combines perceptual, semantic, and reference-based comparisons.