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2020 – today
- 2024
[c16]Oscar Mañas, Benno Krojer, Aishwarya Agrawal:
Improving Automatic VQA Evaluation Using Large Language Models. AAAI 2024: 4171-4179- [c15]Le Zhang, Rabiul Awal, Aishwarya Agrawal:
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding. CVPR 2024: 13774-13784 - [c14]Saba Ahmadi, Aishwarya Agrawal:
An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics. EACL (Findings) 2024: 196-208 - [c13]Qian Yang, Weixiang Yan, Aishwarya Agrawal:
Decompose and Compare Consistency: Measuring VLMs' Answer Reliability via Task-Decomposition Consistency Comparison. EMNLP 2024: 3613-3627 - [c12]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. EMNLP 2024: 5769-5790 - [i22]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 abs/2403.17804 (2024) - [i21]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 abs/2405.17247 (2024) - [i20]Qian Yang, Weixiang Yan, Aishwarya Agrawal:
Decompose and Compare Consistency: Measuring VLMs' Answer Reliability via Task-Decomposition Consistency Comparison. CoRR abs/2407.07840 (2024) - [i19]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 abs/2407.10920 (2024) - [i18]Rabiul Awal, Saba Ahmadi, Le Zhang, Aishwarya Agrawal:
VisMin: Visual Minimal-Change Understanding. CoRR abs/2407.16772 (2024) - 2023
- [c11]Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal, Lisa Anne Hendricks, Aida Nematzadeh:
Measuring Progress in Fine-grained Vision-and-Language Understanding. ACL (1) 2023: 1559-1582 - [c10]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: 1171-1196 - [c9]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: 2515-2540 - [c8]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: 1195-1210 - [i17]Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal, Lisa Anne Hendricks, Aida Nematzadeh:
Measuring Progress in Fine-grained Vision-and-Language Understanding. CoRR abs/2305.07558 (2023) - [i16]Saba Ahmadi, Aishwarya Agrawal:
An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics. CoRR abs/2305.14998 (2023) - [i15]Le Zhang, Rabiul Awal, Aishwarya Agrawal:
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding. CoRR abs/2306.08832 (2023) - [i14]Rabiul Awal, Le Zhang, Aishwarya Agrawal:
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering. CoRR abs/2306.09996 (2023) - [i13]Oscar Mañas, Benno Krojer, Aishwarya Agrawal:
Improving Automatic VQA Evaluation Using Large Language Models. CoRR abs/2310.02567 (2023) - [i12]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 abs/2310.13265 (2023) - 2022
- [c7]Aishwarya Agrawal, Damien Teney, Aida Nematzadeh:
Vision-Language Pretraining: Current Trends and the Future. ACL (tutorial) 2022: 38-43 - [i11]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 abs/2205.12191 (2022) - [i10]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 abs/2210.07179 (2022) - 2020
- [b1]Aishwarya Agrawal:
Visual Question Answering and Beyond. Georgia Institute of Technology, Atlanta, GA, USA, 2020
2010 – 2019
- 2019
- [j4]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): 398-414 (2019) - 2018
- [c6]Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi:
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering. CVPR 2018: 4971-4980 - [c5]Sainandan Ramakrishnan, Aishwarya Agrawal, Stefan Lee:
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization. NeurIPS 2018: 1548-1558 - [i9]Sainandan Ramakrishnan, Aishwarya Agrawal, Stefan Lee:
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization. CoRR abs/1810.03649 (2018) - [i8]Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni:
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR abs/1812.00898 (2018) - 2017
- [j3]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: 101-112 (2017) - [j2]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): 4-31 (2017) - [i7]Aishwarya Agrawal, Aniruddha Kembhavi, Dhruv Batra, Devi Parikh:
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset. CoRR abs/1704.08243 (2017) - [i6]Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi:
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering. CoRR abs/1712.00377 (2017) - 2016
- [j1]C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh:
Measuring Machine Intelligence Through Visual Question Answering. AI Mag. 37(1): 63-72 (2016) - [c4]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: 1493-1503 - [c3]Aishwarya Agrawal, Dhruv Batra, Devi Parikh:
Analyzing the Behavior of Visual Question Answering Models. EMNLP 2016: 1955-1960 - [c2]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: 1233-1239 - [i5]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 abs/1604.02125 (2016) - [i4]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 abs/1604.03968 (2016) - [i3]Aishwarya Agrawal, Dhruv Batra, Devi Parikh:
Analyzing the Behavior of Visual Question Answering Models. CoRR abs/1606.07356 (2016) - [i2]C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh:
Measuring Machine Intelligence Through Visual Question Answering. CoRR abs/1608.08716 (2016) - 2015
- [c1]Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh:
VQA: Visual Question Answering. ICCV 2015: 2425-2433 - [i1]Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh:
VQA: Visual Question Answering. CoRR abs/1505.00468 (2015)
Coauthor Index
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