Aishwarya Agrawal

According to our database, Aishwarya Agrawal authored at least 29 papers between 2015 and 2024.

Collaborative distances:

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

2024

VisMin: Visual Minimal-Change Understanding.

Rabiul Awal, Saba Ahmadi, Le Zhang, Aishwarya Agrawal

CoRR, 2024

An Introduction to Vision-Language Modeling.

Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra

CoRR, 2024

Improving Text-to-Image Consistency via Automatic Prompt Optimization.

Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal

CoRR, 2024

Decompose and Compare Consistency: Measuring VLMs' Answer Reliability via Task-Decomposition Consistency Comparison.

Qian Yang, Weixiang Yan, Aishwarya Agrawal

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

Benchmarking Vision Language Models for Cultural Understanding.

Shravan Nayak, Kanishk Jain, Rabiul Awal, Siva Reddy, Sjoerd van Steenkiste, Lisa Anne Hendricks, Karolina Stanczak, Aishwarya Agrawal

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

An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics.

Saba Ahmadi, Aishwarya Agrawal

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

Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding.

Le Zhang, Rabiul Awal, Aishwarya Agrawal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Improving Automatic VQA Evaluation Using Large Language Models.

Oscar Mañas, Benno Krojer, Aishwarya Agrawal

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering.

Rabiul Awal, Le Zhang, Aishwarya Agrawal

CoRR, 2023

Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding.

Le Zhang, Rabiul Awal, Aishwarya Agrawal

CoRR, 2023

MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model.

Le Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie, Aishwarya Agrawal

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

MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting.

Oscar Mañas, Pau Rodríguez López, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization.

Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh

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

Measuring Progress in Fine-grained Vision-and-Language Understanding.

Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal, Lisa Anne Hendricks, Aida Nematzadeh

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization.

Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh

CoRR, 2022

Vision-Language Pretraining: Current Trends and the Future.

Aishwarya Agrawal, Damien Teney, Aida Nematzadeh

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2020

Visual Question Answering and Beyond.

Aishwarya Agrawal

PhD thesis, 2020

2019

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering.

Yash Goyal, Tejas Khot, Aishwarya Agrawal, Douglas Summers-Stay, Dhruv Batra, Devi Parikh

Int. J. Comput. Vis., 2019

2018

Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning.

Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni

CoRR, 2018

Overcoming Language Priors in Visual Question Answering with Adversarial Regularization.

Sainandan Ramakrishnan, Aishwarya Agrawal, Stefan Lee

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering.

Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

VQA: Visual Question Answering - www.visualqa.org.

Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra

Int. J. Comput. Vis., 2017

Resolving vision and language ambiguities together: Joint segmentation & prepositional attachment resolution in captioned scenes.

Gordon A. Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra

Comput. Vis. Image Underst., 2017

C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset.

Aishwarya Agrawal, Aniruddha Kembhavi, Dhruv Batra, Devi Parikh

CoRR, 2017

2016

Measuring Machine Intelligence Through Visual Question Answering.

C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh

AI Mag., 2016

Visual Storytelling.

Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell

Proceedings of the NAACL HLT 2016, 2016

Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes.

Gordon A. Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Analyzing the Behavior of Visual Question Answering Models.

Aishwarya Agrawal, Dhruv Batra, Devi Parikh

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

VQA: Visual Question Answering.

Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015