Vipula Rawte

According to our database, Vipula Rawte authored at least 17 papers between 2017 and 2024.

Collaborative distances:

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

2024

FETILDA: Evaluation Framework for Effective Representations of Long Financial Documents.

Bolun (Namir) Xia, Vipula Rawte, Aparna Gupta, Mohammed J. Zaki

ACM Trans. Knowl. Discov. Data, August, 2024

Do Voters Get the Information They Want? Understanding Authentic Voter FAQs in the US and How to Improve for Informed Electoral Participation.

Vipula Rawte, Deja N. Scott, Gaurav Kumar, Aishneet Juneja, Bharat Sowrya Yaddanapalli, Biplav Srivastava

CoRR, 2024

ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models.

Vipula Rawte, Sarthak Jain, Aarush Sinha, Garv Kaushik, Aman Bansal, Prathiksha Rumale Vishwanath, Samyak Rajesh Jain, Aishwarya Naresh Reganti, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das

CoRR, 2024

FACTOID: FACtual enTailment fOr hallucInation Detection.

Vipula Rawte, S. M. Towhidul Islam Tonmoy, Krishnav Rajbangshi, Shravani Nag, Aman Chadha, Amit P. Sheth, Amitava Das

CoRR, 2024

"Sorry, Come Again?" Prompting - Enhancing Comprehension and Diminishing Hallucination with [PAUSE]-injected Optimal Paraphrasing.

Vipula Rawte, S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Prachi Priya, Aman Chadha, Amit P. Sheth, Amitava Das

CoRR, 2024

Visual Hallucination: Definition, Quantification, and Prescriptive Remediations.

Anku Rani, Vipula Rawte, Harshad Sharma, Neeraj Anand, Krishnav Rajbangshi, Amit P. Sheth, Amitava Das

CoRR, 2024

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.

S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Vinija Jain, Anku Rani, Vipula Rawte, Aman Chadha, Amitava Das

CoRR, 2024

2023

Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness.

Vipula Rawte, Prachi Priya, S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Amit P. Sheth, Amitava Das

CoRR, 2023

A Survey of Hallucination in Large Foundation Models.

Vipula Rawte, Amit P. Sheth, Amitava Das

CoRR, 2023

The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations.

Vipula Rawte, Swagata Chakraborty, Agnibh Pathak, Anubhav Sarkar, S. M. Towhidul Islam Tonmoy, Aman Chadha, Amit P. Sheth, Amitava Das

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

2022

ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance.

Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth

Frontiers Big Data, 2022

FETILDA: An Effective Framework For Fin-tuned Embeddings For Long Financial Text Documents.

Bolun (Namir) Xia, Vipula D. Rawte, Mohammed J. Zaki, Aparna Gupta

CoRR, 2022

2021

Diabetes Tracker: An Information System to assist and track nutritional information.

Vipula Rawte, Hongyi Huang, Michael Morrison, Janine Wu, Travis Peterson, Thilanka Munasinghe

Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021, 2021

2020

A Comparative Analysis of Temporal Long Text Similarity: Application to Financial Documents.

Vipula Rawte, Aparna Gupta, Mohammed J. Zaki

Proceedings of the Mining Data for Financial Applications - 5th ECML PKDD Workshop, 2020

2018

Using supervised learning techniques for entity relationships.

Vipula Rawte, Aparna Gupta, Mohammed J. Zaki

Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

Analysis of year-over-year changes in Risk Factors Disclosure in 10-K filings.

Vipula Rawte, Aparna Gupta, Mohammed J. Zaki

Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

2017

An Ontology for a Polymer Nanocomposite Community Data Resource.

Vipula Rawte, Jamie P. McCusker, He Zhao, L. Catherine Brinson, Wei Chen, Linda Schadler, Deborah L. McGuinness

Proceedings of the 2017 ACM on Web Science Conference, 2017