Aparna Garimella

According to our database, Aparna Garimella authored at least 40 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Srija Mukhopadhyay, Adnan Qidwai, Aparna Garimella, Pritika Ramu, Vivek Gupta, Dan Roth

CoRR, 2024

Towards Region-aware Bias Evaluation Metrics.

Angana Borah, Aparna Garimella, Rada Mihalcea

CoRR, 2024

Presentations are not always linear! GNN meets LLM for Document-to-Presentation Transformation with Attribution.

Himanshu Maheshwari, Sambaran Bandyopadhyay, Aparna Garimella, Anandhavelu Natarajan

CoRR, 2024

FABLES: Evaluating faithfulness and content selection in book-length summarization.

Yekyung Kim, Yapei Chang, Marzena Karpinska, Aparna Garimella, Varun Manjunatha, Kyle Lo, Tanya Goyal, Mohit Iyyer

CoRR, 2024

IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context.

Nihar R. Sahoo, Pranamya Prashant Kulkarni, Arif Ahmad, Tanu Goyal, Narjis Asad, Aparna Garimella, Pushpak Bhattacharyya

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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

Pritika Ramu, Pranshu Gaur, Rishita Emandi, Himanshu Maheshwari, Danish Javed, Aparna Garimella

Proceedings of the 17th International Natural Language Generation Conference, 2024

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

Pritika Ramu, Aparna Garimella, Sambaran Bandyopadhyay

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Srija Mukhopadhyay, Adnan Qidwai, Aparna Garimella, Pritika Ramu, Vivek Gupta, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement.

Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan L. Boyd-Graber

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attribution.

Himanshu Maheshwari, Sambaran Bandyopadhyay, Aparna Garimella, Anandhavelu Natarajan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Presentations by the Humans and For the Humans: Harnessing LLMs for Generating Persona-Aware Slides from Documents.

Ishani Mondal, Shwetha S, Anandhavelu Natarajan, Aparna Garimella, Sambaran Bandyopadhyay, Jordan L. Boyd-Graber

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

DocScript: Document-level Script Event Prediction.

Puneet Mathur, Vlad I. Morariu, Aparna Garimella, Franck Dernoncourt, Jiuxiang Gu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha, Rajiv Jain

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Reflection of Demographic Background on Word Usage.

Aparna Garimella, Carmen Banea, Rada Mihalcea

Comput. Linguistics, June, 2023

InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction.

Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan L. Boyd-Graber

CoRR, 2023

Computable Contracts by Extracting Obligation Logic Graphs.

Sergio Servantez, Nedim Lipka, Alexa F. Siu, Milan Aggarwal, Balaji Krishnamurthy, Aparna Garimella, Kristian J. Hammond, Rajiv Jain

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

kNN-LM Does Not Improve Open-ended Text Generation.

Shufan Wang, Yixiao Song, Andrew Drozdov, Aparna Garimella, Varun Manjunatha, Mohit Iyyer

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters.

Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, Nanyun Peng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions.

Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Neural CRF-based Hierarchical Approach for Linear Text Segmentation.

Inderjeet Nair, Aparna Garimella, Balaji Vasan Srinivasan, Natwar Modani, Niyati Chhaya, Srikrishna Karanam, Sumit Shekhar

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

What to Read in a Contract? Party-Specific Summarization of Important Obligations, Entitlements, and Prohibitions in Legal Documents.

Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger

CoRR, 2022

Investigating Strategies for Clause Recommendation.

Sagar Joshi, Sumanth Balaji, Jerrin Thomas, Aparna Garimella, Vasudeva Varma

Proceedings of the Legal Knowledge and Information Systems, 2022

Demographic-Aware Language Model Fine-tuning as a Bias Mitigation Technique.

Aparna Garimella, Rada Mihalcea, Akhash Amarnath

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Agent-Specific Deontic Modality Detection in Legal Language.

Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Entity Extraction in Low Resource Domains with Selective Pre-training of Large Language Models.

Aniruddha Mahapatra, Sharmila Reddy Nangi, Aparna Garimella, Anandhavelu Natarajan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Graph-based Keyword Planning for Legal Clause Generation from Topics.

Sagar Joshi, Sumanth Balaji, Aparna Garimella, Vasudeva Varma

Proceedings of the Natural Legal Language Processing Workshop, 2022

Text Simplification for Legal Domain: Insights and Challenges.

Aparna Garimella, Abhilasha Sancheti, Vinay Aggarwal, Ananya Ganesh, Niyati Chhaya, Nandakishore Kambhatla

Proceedings of the Natural Legal Language Processing Workshop, 2022

2021

AUTOSUMM: Automatic Model Creation for Text Summarization.

Sharmila Reddy Nangi, Atharv Tyagi, Jay Mundra, Sagnik Mukherjee, Raj Snehal, Niyati Chhaya, Aparna Garimella

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

ClauseRec: A Clause Recommendation Framework for AI-aided Contract Authoring.

Vinay Aggarwal, Aparna Garimella, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Rajiv Jain

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting.

Hrituraj Singh, Gaurav Verma, Aparna Garimella, Balaji Vasan Srinivasan

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction.

Bhanu Prakash Reddy Guda, Aparna Garimella, Niyati Chhaya

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Domain-Aware Dependency Parsing for Questions.

Aparna Garimella, Laura Chiticariu, Yunyao Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation.

Aparna Garimella, Akhash Amarnath, Kiran Kumar, Akash Pramod Yalla, Anandhavelu Natarajan, Niyati Chhaya, Balaji Vasan Srinivasan

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Demographic-Aware Natural Language Processing.

Aparna Garimella

PhD thesis, 2020

Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation.

Emily Saldanha, Aparna Garimella, Svitlana Volkova

Proceedings of the 13th International Conference on Natural Language Generation, 2020

"Judge me by my size (noun), do you?" YodaLib: A Demographic-Aware Humor Generation Framework.

Aparna Garimella, Carmen Banea, Nabil Hossain, Rada Mihalcea

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Women's Syntactic Resilience and Men's Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing.

Aparna Garimella, Carmen Banea, Eduard H. Hovy, Rada Mihalcea

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017

Demographic-aware word associations.

Aparna Garimella, Carmen Banea, Rada Mihalcea

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

What Men Say, What Women Hear: Finding Gender-Specific Meaning Shades.

Rada Mihalcea, Aparna Garimella

IEEE Intell. Syst., 2016

Identifying Cross-Cultural Differences in Word Usage.

Aparna Garimella, Rada Mihalcea, James W. Pennebaker

Proceedings of the COLING 2016, 2016

Zooming in on Gender Differences in Social Media.

Aparna Garimella, Rada Mihalcea

Proceedings of the Workshop on Computational Modeling of People's Opinions, 2016