Aishwarya Agrawal

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 37

Top Venues

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Shravan Nayak, Kanishk Jain, Rabiul Awal, Siva Reddy, Sjoerd van Steenkiste, Lisa Anne Hendricks, Karolina Stanczak, Aishwarya Agrawal
Benchmarking Vision Language Models for Cultural Understanding. CoRR (2024)
Qian Yang, Weixiang Yan, Aishwarya Agrawal
Decompose and Compare Consistency: Measuring VLMs' Answer Reliability via Task-Decomposition Consistency Comparison. CoRR (2024)
Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal
Improving Text-to-Image Consistency via Automatic Prompt Optimization. CoRR (2024)
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
An Introduction to Vision-Language Modeling. CoRR (2024)
Oscar Mañas, Benno Krojer, Aishwarya Agrawal
Improving Automatic VQA Evaluation Using Large Language Models. AAAI (2024)
Rabiul Awal, Saba Ahmadi, Le Zhang, Aishwarya Agrawal
VisMin: Visual Minimal-Change Understanding. CoRR (2024)
Saba Ahmadi, Aishwarya Agrawal
An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics. EACL (Findings) (2024)
Le Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie, Aishwarya Agrawal
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model. CoRR (2023)
Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal, Lisa Anne Hendricks, Aida Nematzadeh
Measuring Progress in Fine-grained Vision-and-Language Understanding. CoRR (2023)
Rabiul Awal, Le Zhang, Aishwarya Agrawal
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering. CoRR (2023)
Oscar Mañas, Benno Krojer, Aishwarya Agrawal
Improving Automatic VQA Evaluation Using Large Language Models. CoRR (2023)
Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. EACL (Findings) (2023)
Le Zhang, Rabiul Awal, Aishwarya Agrawal
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding. CoRR (2023)
Oscar Mañas, Pau Rodríguez López, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. EACL (2023)
Le Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie, Aishwarya Agrawal
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model. EMNLP (Findings) (2023)
Saba Ahmadi, Aishwarya Agrawal
An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics. CoRR (2023)
Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal, Lisa Anne Hendricks, Aida Nematzadeh
Measuring Progress in Fine-grained Vision-and-Language Understanding. ACL (1) (2023)
Oscar Mañas, Pau Rodríguez, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. CoRR (2022)
Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh
Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. CoRR (2022)
Aishwarya Agrawal, Damien Teney, Aida Nematzadeh
Vision-Language Pretraining: Current Trends and the Future. ACL (tutorial) (2022)
Yash Goyal, Tejas Khot, Aishwarya Agrawal, Douglas Summers-Stay, Dhruv Batra, Devi Parikh
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering. Int. J. Comput. Vis. 127 (4) (2019)
Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR (2018)
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering. CVPR (2018)
Sainandan Ramakrishnan, Aishwarya Agrawal, Stefan Lee
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization. NeurIPS (2018)
Sainandan Ramakrishnan, Aishwarya Agrawal, Stefan Lee
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization. CoRR (2018)
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering. CoRR (2017)
Aishwarya Agrawal, Aniruddha Kembhavi, Dhruv Batra, Devi Parikh
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset. CoRR (2017)
Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
VQA: Visual Question Answering - www.visualqa.org. Int. J. Comput. Vis. 123 (1) (2017)
Gordon A. Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra
Resolving vision and language ambiguities together: Joint segmentation & prepositional attachment resolution in captioned scenes. Comput. Vis. Image Underst. 163 (2017)
Aishwarya Agrawal, Dhruv Batra, Devi Parikh
Analyzing the Behavior of Visual Question Answering Models. CoRR (2016)
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
Visual Storytelling. CoRR (2016)
C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh
Measuring Machine Intelligence Through Visual Question Answering. AI Mag. 37 (1) (2016)
Gordon A. Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes. EMNLP (2016)
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
Visual Storytelling. HLT-NAACL (2016)
C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh
Measuring Machine Intelligence Through Visual Question Answering. CoRR (2016)
Aishwarya Agrawal, Dhruv Batra, Devi Parikh
Analyzing the Behavior of Visual Question Answering Models. EMNLP (2016)
Gordon A. Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes. CoRR (2016)
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
VQA: Visual Question Answering. CoRR (2015)
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
VQA: Visual Question Answering. ICCV (2015)

Aishwarya Agrawal.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Aishwarya Agrawal