Hi! I’m a first year PhD student in the Department of Computer Science at the University of Maryland, College Park where I’m advised by Prof. Rachel Rudinger. I’m a member of the Computational Linguistics and Information Processing (CLIP) Lab in UMIACS.
Previously, I worked as a Research Associate at Adobe Research. I graduated with a Bachelor of Engineering in Computer Science from Birla Institute of Technology and Science, Pilani (BITS, Pilani).
Research
At Adobe Research, I primarily work with Dr. Aparna Garimella and Dr. Balaji V. Srinivasan on document experience projects which involve creation and transformation of documents into other consumable formats (reports, slides, infographics). My focus areas include ambiguity resolution, personalization, factuality, content planning and generation of structured content (tables and charts).
I completed my bachelor’s thesis under the supervision of Prof. Lifu Huang at Virginia Tech. My project focused on the extraction of key-value pairs from domain and language agnostic visually rich documents, utilizing NLP and graph techniques. During my undergraduate studies, I explored various research fields including biometric authentication, route optimization, and time-series forecasting under the guidance of Prof. Kamlesh Tiwari.
Publications and Preprints
StyleAdaptedLM: Enhancing Instruction Following Models with Efficient Stylistic Transfer
Preprint
Pritika Ramu, Apoorv Saxena, Meghanath M Y, Varsha Sankar, Debraj Basu
Doc2Chart: Intent-Driven Zero-Shot Chart Generation from Documents
EMNLP 2025
Akriti Jain, Pritika Ramu, Aparna Garimella, Apoorv Saxena
Infogen: Generating Complex Statistical Infographics from Documents
ACL 2025
Akash Ghosh, Aparna Garimella, Pritika Ramu, Sambaran Bandyopadhyay, Sriparna Saha
Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text
EMNLP 2024 (short)
Pritika Ramu, Aparna Garimella, Sambaran Bandyopadhyay
Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition
EMNLP 2024
Pritika Ramu, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan
Unraveling the Truth: Do LLMs really Understand Charts? A Deep Dive into Consistency and Robustness
EMNLP 2024 Findings
Srija Mukhopadhyay, Adnan Qidwai, Aparna Garimella, Pritika Ramu, Vivek Gupta, Dan Roth
Zooming in on Zero-Shot Intent-Guided and Grounded Document Generation using LLMs
INLG 2024 (oral presentaion)
Pritika Ramu, Pranshu Gaur, Rishita Emandi, Himanshu Maheshwari, Danish Javed and Aparna Garimella
RE2: Region-Aware Relation Extraction from Visually Rich Documents
NAACL 2024
Pritika Ramu, Sijia Wang, Lalla Mouatadid, Joy Rimchala, Lifu Huang
Patents
Generating Charts from Documents based on User Intent and Document Data
Pritika Ramu, Aparna Garimella, Akriti Jain
US Patent Application 19/226,748; Adobe Inc.
Customizing Generative Machine Learning Model Output
Pritika Ramu, Varsha Sankar, Meghanath M Y, Debraj Debashish Basu, Apoorv Umang Saxena
US Patent Application 119/195,421; Adobe Inc.
Multimodal Grounded Content Expansion
Pranshu Gaur, Danish Javed, Rishita Emandi, Himanshu Maheshwari, Pritika Ramu, Aparna
Garimella
US Patent Application 19/175,920; Adobe Inc.
Intent-guided and Grounded Document Generation
Pritika Ramu, Aparna Garimella, Himanshu Maheshwari
US Patent Application 18/891,558; Adobe Inc.
Prompt-based Few-Shot Entity Extraction
Inderjeet Nair, Pritika Ramu, Akshay Singhal, Kumud Lakara, Vikas Balani, Anandhavelu N
US Patent Application 18/360,721; Adobe Inc. (Published)
CV
Work Experience
Adobe Research, Bangalore
Research Associate - Jul 2023 - Aug 2025
VT-NLP Lab, Blacksburg
Research Assistant - Jan 2023 - Jun 2023
Adobe Research, Bangalore
Research Intern — Jun 2022 - August 2022
Goibibo, Bangalore
Technology Development Intern — Jun 2021 - Aug 2021