( en | de | ru )

 

Disambiguation of "Agrawal, Aishwarya"

Author of the publication

copydeleteadd this publication to your clipboard
Vision-Language Pretraining: Current Trends and the Future.

, , and . ACL (tutorial), page 38-43. Association for Computational Linguistics, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Deepashri Agrawal

Aishwarya Thiruvengadam

Mukesh Agrawal

Mudit Agrawal

Hemant Agrawal

 

Other publications of authors with the same name

Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning., , , , , and . CoRR, (2018)Resolving vision and language ambiguities together: Joint segmentation & prepositional attachment resolution in captioned scenes., , , , , , and . Comput. Vis. Image Underst., (2017)Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering., , and . CoRR, (2023)Measuring Progress in Fine-grained Vision-and-Language Understanding., , , , and . ACL (1), page 1559-1582. Association for Computational Linguistics, (2023)MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting., , , , , and . EACL, page 2515-2540. Association for Computational Linguistics, (2023)Improving Text-to-Image Consistency via Automatic Prompt Optimization., , , , , , , , and . CoRR, (2024)Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering., , , , , and . Int. J. Comput. Vis., 127 (4): 398-414 (2019)Improving Automatic VQA Evaluation Using Large Language Models., , and . CoRR, (2023)An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics., and . CoRR, (2023)Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization., , , , , , and . CoRR, (2022)