Aishwarya Agrawal

Orcid: 0000-0002-8620-8077

According to our database1, Aishwarya Agrawal authored at least 24 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Improving Text-to-Image Consistency via Automatic Prompt Optimization.
CoRR, 2024

An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Improving Automatic VQA Evaluation Using Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering.
CoRR, 2023

Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding.
CoRR, 2023

MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Measuring Progress in Fine-grained Vision-and-Language Understanding.
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.
CoRR, 2022

Vision-Language Pretraining: Current Trends and the Future.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2020
Visual Question Answering and Beyond.
PhD thesis, 2020

2019
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering.
Int. J. Comput. Vis., 2019

2018
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning.
CoRR, 2018

Overcoming Language Priors in Visual Question Answering with Adversarial Regularization.
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.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
VQA: Visual Question Answering - www.visualqa.org.
Int. J. Comput. Vis., 2017

Resolving vision and language ambiguities together: Joint segmentation & prepositional attachment resolution in captioned scenes.
Comput. Vis. Image Underst., 2017

C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset.
CoRR, 2017

2016
Measuring Machine Intelligence Through Visual Question Answering.
AI Mag., 2016


Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Analyzing the Behavior of Visual Question Answering Models.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
VQA: Visual Question Answering.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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