Ron Litman
12 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28)
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Topic Evolution
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Century Club · Bronze
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Unstoppable · Bronze
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Research topics
Artificial Intelligence
(8)
Core AI · Artificial Intelligence
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Deep Learning
(6)
Natural Language Processing
(6)
Applications
(6)
Computer Vision
(5)
Architectures
(4)
Machine Learning
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Core AI · Computer Vision
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Analysis
(1)
Keywords
visual question answering
(4)
vision-language model
(3)
large language model
(2)
optical character recognition
(2)
multimodal learning
(2)
scene text recognition
(2)
document understanding
(2)
neural machine translation
(1)
information extraction
(1)
vision transformer
(1)
selective attention
(1)
convolutional neural network
(1)
sequence-to-sequence learning
(1)
benchmark dataset
(1)
visual representation
(1)
multimodal reasoning
(1)
attention mechanism
(1)
reference-free evaluation
(1)
vision-language task
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pre-trained model
(1)
Papers
DREAM: Deep Research Evaluation with Agentic Metrics
ACL 2026
DocVLM: Make Your VLM an Efficient Reader
CVPR 2025
GRAM: Global Reasoning for Multi-Page VQA
CVPR 2024
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation
NAACL 2024
Question Aware Vision Transformer for Multimodal Reasoning
CVPR 2024
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding
ECCV 2024
CLIPTER: Looking at the Bigger Picture in Scene Text Recognition
ICCV 2023
Towards Models that Can See and Read
ICCV 2023
LaTr: Layout-Aware Transformer for Scene-Text VQA
CVPR 2022
TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers
ECCV 2022
Sequence-to-Sequence Contrastive Learning for Text Recognition
CVPR 2021
SCATTER: Selective Context Attentional Scene Text Recognizer
CVPR 2020