Sanjay Subramanian
15 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Topic Evolution
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Research topics
Artificial Intelligence
(9)
Core AI
(9)
Computer Vision
(7)
Machine Learning
(7)
Natural Language Processing
(7)
Applications · Natural Language Processing
(7)
Deep Learning
(5)
Core Methods
(4)
Learning Types · Machine Learning
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Learning Types · Deep Learning
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Analysis
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Applications · Computer Vision
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Models
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Computer Science
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Applications · Computer Science
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Keywords
multimodal learning
(4)
language model
(3)
vision-language model
(2)
iterative refinement
(2)
zero-shot learning
(2)
visual reasoning
(2)
neural network
(2)
large language model
(2)
medical imaging
(1)
model evaluation
(1)
visual question answering
(1)
autoregressive generation
(1)
few-shot learning
(1)
code generation
(1)
neural machine translation
(1)
information extraction
(1)
network architecture
(1)
coreference resolution
(1)
program synthesis
(1)
in-context learning
(1)
Papers
AutoPresent: Designing Structured Visuals from Scratch
CVPR 2025
Pose Priors from Language Models
CVPR 2025
Recursive Visual Programming
ECCV 2024
TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering
EMNLP 2024
Using Language Models to Disambiguate Lexical Choices in Translation
EMNLP 2024
Can Language Models Learn to Listen?
ICCV 2023
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation
EMNLP 2023
Modular Visual Question Answering via Code Generation
ACL 2023
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension
ACL 2022
Evaluating Models’ Local Decision Boundaries via Contrast Sets
EMNLP 2020
MedICaT: A Dataset of Medical Images, Captions, and Textual References
EMNLP 2020
Obtaining Faithful Interpretations from Compositional Neural Networks
ACL 2020
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
EMNLP 2019
An Improved Neural Baseline for Temporal Relation Extraction
EMNLP 2019
Evaluation of named entity coreference
NAACL 2019