1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2025
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution
Kanika Goswami, Puneet Mathur, Ryan Rossi +1
Large Language Models (LLMs) can perform chart question-answering tasks but often generate unverified hallucinated responses. Existing answer attribution methods struggle to ground…
cs.CL2025★ 1 cited
PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback
Kanika Goswami, Puneet Mathur, Ryan Rossi +1
Scientific data visualization is pivotal for transforming raw data into comprehensible visual representations, enabling pattern recognition, forecasting, and the presentation of da…
cs.IR2025★ 1 cited
PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents
Kanika Goswami, Puneet Mathur, Ryan Rossi +1
Chart visualizations, while essential for data interpretation and communication, are predominantly accessible only as images in PDFs, lacking source data tables and stylistic infor…