3 papers
cs.CL2025
Doc2Chart: Intent-Driven Zero-Shot Chart Generation from Documents
Akriti Jain, Pritika Ramu, Aparna Garimella +1
Large Language Models (LLMs) have demonstrated strong capabilities in transforming text descriptions or tables to data visualizations via instruction-tuning methods. However, it is…
cs.AI2025
RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis
Anku Rani, Aparna Garimella, Apoorv Saxena +2
Data visualizations like charts are fundamental tools for quantitative analysis and decision-making across fields, requiring accurate interpretation and mathematical reasoning. The…
cs.CL2025
StyleAdaptedLM: Enhancing Instruction Following Models with Efficient Stylistic Transfer
Pritika Ramu, Apoorv Saxena, Meghanath M Y +2
Adapting LLMs to specific stylistic characteristics, like brand voice or authorial tones, is crucial for enterprise communication but challenging to achieve from corpora which lack…