Patrick Schramowski
25 papers · 2020–2026 · 11 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (50) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Dynamic Duo
(24)
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Keyword Pioneer
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Grand Slam
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Topic Evolution
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Renaissance Researcher
(5)
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Unstoppable · Bronze
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
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Venues
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Research topics
Artificial Intelligence
(16)
Deep Learning
(16)
Core AI
(14)
Machine Learning
(12)
Learning Types · Deep Learning
(8)
Models
(7)
Computer Vision
(6)
Application Areas
(6)
Learning Types · Machine Learning
(6)
Natural Language Processing
(4)
Generation
(4)
Resources & Methods
(4)
Architectures
(3)
Optimization & Theory
(3)
Processing
(3)
Keywords
vision-language model
(4)
large language model
(4)
diffusion model
(3)
stable diffusion
(3)
cross-lingual transfer
(3)
text-to-image generation
(3)
instruction tuning
(2)
zero-shot learning
(2)
logical reasoning
(2)
latent space
(2)
text-to-image diffusion
(2)
concept learning
(2)
image editing
(2)
text-to-image synthesis
(2)
multimodal learning
(2)
attention mechanism
(1)
scene understanding
(1)
preference learning
(1)
visual question answering
(1)
transfer learning
(1)
Papers
SLR: Automated Synthesis for Scalable Logical Reasoning
ACL 2026
ART: Adaptive Relation Tuning for Generalized Relation Prediction
ICCV 2025
Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models
EMNLP 2025
LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
ICML 2025
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes
ACL 2025
Adaptive Rational Activations to Boost Deep Reinforcement Learning
ICLR 2024
Community OSCAR: A Community Effort for Multilingual Web Data
EMNLP 2024
DeiSAM: Segment Anything with Deictic Prompting
NeurIPS 2024
Divergent Token Metrics: Measuring degradation to prune away LLM components – and optimize quantization
NAACL 2024
Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint)
IJCAI 2024
LEDITS++: Limitless Image Editing using Text-to-Image Models
CVPR 2024
Occiglot at WMT24: European Open-source Large Language Models Evaluated on Translation
EMNLP 2024
T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
EMNLP 2024
ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
NeurIPS 2023
Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge
AACL 2023
ILLUME: Rationalizing Vision-Language Models through Human Interactions
ICML 2023
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
NeurIPS 2023
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
CVPR 2023
SEGA: Instructing Text-to-Image Models using Semantic Guidance
NeurIPS 2023
Speaking Multiple Languages Affects the Moral Bias of Language Models
ACL 2023
Interactive Disentanglement: Learning Concepts by Interacting With Their Prototype Representations
CVPR 2022
LAION-5B: An open large-scale dataset for training next generation image-text models
NeurIPS 2022
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions
AAAI 2021
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations
CVPR 2021
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks
ICLR 2020