Aishwarya Agrawal
26 papers · 2015–2026 · 9 venues · across top CS/AI venues
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Artificial Intelligence
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Core AI · Artificial Intelligence
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Machine Learning
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Computer Vision
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Deep Learning
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Natural Language Processing
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vision-language model
(9)
visual question answering
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image-text alignment
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visual grounding
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multimodal large language model
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large language model
(3)
contrastive learning
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multimodal learning
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benchmark evaluation
(2)
in-context learning
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zero-shot learning
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self-supervised learning
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instruction tuning
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text-to-image generation
(2)
fine-grained understanding
(2)
information retrieval
(1)
prompt engineering
(1)
data augmentation
(1)
representation learning
(1)
reinforcement learning
(1)
Papers
From Where Things Are to What They Are For: Benchmarking Spatial-Functional Intelligence in Multimodal LLMs
CVPR 2026
Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection
CVPR 2026
Assessing and Learning Alignment of Unimodal Vision and Language Models
CVPR 2025
Controlling Multimodal LLMs via Reward-guided Decoding
ICCV 2025
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
CVPR 2025
CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics
EMNLP 2025
REARANK: Reasoning Re-ranking Agent via Reinforcement Learning
EMNLP 2025
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction
ICML 2025
WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation
EMNLP 2025
An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics
EACL 2024
Benchmarking Vision Language Models for Cultural Understanding
EMNLP 2024
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding
CVPR 2024
Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison
EMNLP 2024
Improving Automatic VQA Evaluation Using Large Language Models
AAAI 2024
VisMin: Visual Minimal-Change Understanding
NeurIPS 2024
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting
EACL 2023
Measuring Progress in Fine-grained Vision-and-Language Understanding
ACL 2023
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model
EMNLP 2023
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization
EACL 2023
Vision-Language Pretraining: Current Trends and the Future
ACL 2022
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
CVPR 2018
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
NeurIPS 2018
Analyzing the Behavior of Visual Question Answering Models
EMNLP 2016
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes
EMNLP 2016
Visual Storytelling
NAACL 2016
VQA: Visual Question Answering
ICCV 2015