VQA: Visual Question Answering. - Stanislaw Antol; Aishwarya Agrawal; Jiasen Lu; Margaret Mitchell; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh (ICCV, 2015)

Analyzing the Behavior of Visual Question Answering Models. - Aishwarya Agrawal; Dhruv Batra; Devi Parikh (EMNLP, 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 (EMNLP, 2016)

Visual Storytelling. - Ting-Hao (Kenneth) Huang; Francis Ferraro; Nasrin Mostafazadeh; Ishan Misra; Aishwarya Agrawal; Jacob Devlin; Ross B. Girshick; Xiaodong He 001; Pushmeet Kohli; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh; et al. (HLT-NAACL, 2016)

Measuring Machine Intelligence Through Visual Question Answering. - C. Lawrence Zitnick; Aishwarya Agrawal; Stanislaw Antol; Margaret Mitchell; Dhruv Batra; Devi Parikh (AI Mag., 2016)

C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset. - Aishwarya Agrawal; Aniruddha Kembhavi; Dhruv Batra; Devi Parikh (CoRR, 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)

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)

Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering. - Aishwarya Agrawal; Dhruv Batra; Devi Parikh; Aniruddha Kembhavi (CVPR, 2018)

Overcoming Language Priors in Visual Question Answering with Adversarial Regularization. - Sainandan Ramakrishnan; Aishwarya Agrawal; Stefan Lee (NeurIPS, 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)

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)

Visual Question Answering and Beyond. - Aishwarya Agrawal (2020)

Vision-Language Pretraining: Current Trends and the Future. - Aishwarya Agrawal; Damien Teney; Aida Nematzadeh (ACL (tutorial), 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)

Measuring Progress in Fine-grained Vision-and-Language Understanding. - Emanuele Bugliarello; Laurent Sartran; Aishwarya Agrawal; Lisa Anne Hendricks; Aida Nematzadeh (ACL (1), 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 (EACL (Findings), 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 (EACL, 2023)

MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model. - Le Zhang 012; Yihong Wu; Fengran Mo; Jian-Yun Nie; Aishwarya Agrawal (EMNLP (Findings), 2023)

Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding. - Le Zhang 012; Rabiul Awal; Aishwarya Agrawal (CoRR, 2023)

Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering. - Rabiul Awal; Le Zhang 012; Aishwarya Agrawal (CoRR, 2023)

Improving Automatic VQA Evaluation Using Large Language Models. - Oscar Mañas; Benno Krojer; Aishwarya Agrawal (AAAI, 2024)

Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding. - Le Zhang 012; Rabiul Awal; Aishwarya Agrawal (CVPR, 2024)

An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics. - Saba Ahmadi; Aishwarya Agrawal (EACL (Findings), 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 (EMNLP, 2024)

Decompose and Compare Consistency: Measuring VLMs' Answer Reliability via Task-Decomposition Consistency Comparison. - Qian Yang 007; Weixiang Yan; Aishwarya Agrawal (EMNLP, 2024)

VisMin: Visual Minimal-Change Understanding. - Rabiul Awal; Saba Ahmadi; Le Zhang 012; Aishwarya Agrawal (NeurIPS, 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 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

Assessing and Learning Alignment of Unimodal Vision and Language Models. - Le Zhang 012; Qian Yang 007; Aishwarya Agrawal (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 (Trans. Mach. Learn. Res., 2024)

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning. - Aniket Didolkar; Andrii Zadaianchuk; Rabiul Awal; Maximilian Seitzer; Efstratios Gavves; Aishwarya Agrawal (CVPR, 2025)

Assessing and Learning Alignment of Unimodal Vision and Language Models. - Le Zhang; Qian Yang; Aishwarya Agrawal (CVPR, 2025)

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction. - Shravan Nayak; Xiangru Jian; Kevin Qinghong Lin; Juan A. Rodríguez; Montek Kalsi; Rabiul Awal; Nicolas Chapados; M. Tamer Özsu; Aishwarya Agrawal; David Vázquez 001; Christopher Pal; Perouz Taslakian; et al. (CoRR, 2025)

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning. - Le Zhang; Bo Wang 084; Xipeng Qiu; Siva Reddy; Aishwarya Agrawal (CoRR, 2025)

Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection. - Shivam Chandhok; Qian Yang; Oscar Mañas; Kanishk Jain; Leonid Sigal; Aishwarya Agrawal (CoRR, 2025)

CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics. - Shravan Nayak; Mehar Bhatia; Xiaofeng Zhang; Verena Rieser; Lisa Anne Hendricks; Sjoerd van Steenkiste; Yash Goyal; Karolina Stanczak; Aishwarya Agrawal (CoRR, 2025)

The Promise of RL for Autoregressive Image Editing. - Saba Ahmadi; Rabiul Awal; Ankur Sikarwar; Amirhossein Kazemnejad; Ge Ya Luo; Juan A. Rodríguez; Sai Rajeswar; Siva Reddy; Christopher Pal; Benno Krojer; Aishwarya Agrawal (CoRR, 2025)

Controlling Multimodal LLMs via Reward-guided Decoding. - Oscar Mañas; Pierluca D'Oro; Koustuv Sinha; Adriana Romero-Soriano; Michal Drozdzal; Aishwarya Agrawal (CoRR, 2025)