Author

Pritika Ramu

Observed name: Ramu, Pritika

Institution: University of Maryland, College Park

Observed institutions: Adobe Systems (United States), University of Maryland, College Park, Virginia Tech

OpenAlex ID: A5114198392

Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness

2024 · Srija Mukhopadhyay, Adnan Qidwai, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 5

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Infogen: Generating Complex Statistical Infographics from Documents

2025 · Akash Ghosh, Aparna Garimella, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2

Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition

2024 · Pritika Ramu, Koustava Goswami, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2

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Zooming in on Zero-Shot Intent-Guided and Grounded Document Generation using LLMs

2024 · Pritika Ramu, Pranshu Gaur, et al. · International Conference on Natural Language Generation · 2

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Doc2Chart: Intent-Driven Zero-Shot Chart Generation from Documents

2025 · Akriti Jain, Pritika Ramu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1

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Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text

2024 · Pritika Ramu, Aparna Garimella, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1

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Language Models Encode the Contextual Truth of Propositions

2026 · Sarkar, Rupak, Ramu, Pritika, et al. · arXiv (Cornell University)

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An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA

2026 · Association for Computational Linguistics 2026, Garimella, Aparna, et al. · Underline Science Inc.

Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents

2026 · Association for Computational Linguistics 2026, Garimella, Aparna, et al. · Underline Science Inc.

An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA

2026 · Sharma, Saransh, Ramu, Pritika, et al. · arXiv (Cornell University)

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Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents

2026 · Jain, Akriti, Mulay, Anish, et al. · arXiv (Cornell University)

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Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents

2026 · Akriti Jain, Anish Mulay, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting

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An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA

2026 · Saransh Sharma, Pritika Ramu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)

StyleAdaptedLM: Enhancing Instruction Following Models with Efficient Stylistic Transfer

2025 · Ramu, Pritika, Saxena, Apoorv, et al. · arXiv (Cornell University)

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RE2: Region-Aware Relation Extraction from Visually Rich Documents

2024 · Pritika Ramu, Sijia Wang, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

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RE$^2$: Region-Aware Relation Extraction from Visually Rich Documents

2023 · Ramu, Pritika, Wang, Sijia, et al. · arXiv (Cornell University)

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Works count: 22

Citation count: 13

H-index: 2

I10-index: