Country of the labs · world rank 25
AI research: Poland
Located papers
553
This month
0
−100% vs previous month
Subjects covered
199
This page only covers the 553 papers with at least one laboratory traced to this country, between 28 October 2025 and 18 August 2026. It is not the entire output of the country.
This is the country of the laboratory, never the nationality of individuals. A paper co-signed from several countries counts in each of them. Coverage is partial and the gap is not random: a researcher whose institution is unknown usually publishes little, which over-represents established labs.
Volumes by domain
What this country works on: Poland
Themes and topics are not invented here: every paper is mapped onto the OpenAlex classification, the open catalogue that indexes the world's scientific research (domain › field › theme › topic hierarchy). Click a theme to break it down into its main topics.
Rising phrases - last 30 days
Emerging signals
Phrases appearing markedly more often than usual in this country's papers. Because a national corpus is far smaller than the global one, the selection threshold is proportional to its volume: percentages are jumpier, and a term can rise on a handful of papers.
No signal computed yet - the burst detection workflow has not run.
Most active subjects - 12 months
Trajectories
Topics taken from the OpenAlex scientific classification.
Explainable Artificial Intelligence (XAI)
AI
Multimodal Machine Learning Applications
Vision
Generative Adversarial Networks and Image Synthesis
Vision
Large Language Models
AI
Advanced Neural Network Applications
Vision
Misinformation and Its Impacts
Sociology and Political Science
Adversarial Robustness in Machine Learning
AI
Reinforcement Learning in Robotics
AI
20 most recent papers
Latest ingests
| Paper | Abstract | Theme | Topic |
|---|---|---|---|
| UniDot: A Unified Network for Sequence Modeling and Feature Interaction in Large-scale Recommendation 18 August 2026 | Industrial recommenders rely on two model families that have evolved largely independently: feature-interaction models over multi-field user/item features, and sequential models… | Info systems | Recommender Systems and Techniques |
| Ventor-QTest: Threat-Model-Driven Verification of Vendor-Hosted LLM APIs 18 August 2026 | As large language models become increasingly widespread, third-party providers that deploy open-weight models have become an important part of the ecosystem. Auditing the quality… | Networks | Software System Performance and Reliability |
| The Trade-off Between Covariate Dependence and Latent Structure in Representation Learning 18 August 2026 | Disentangled representation learning seeks latent representations whose indicidual dimensions each align with a distinct covariate. Unsupervised approaches typically target latent… | Vision | Generative Adversarial Networks and Image Synthesis |
| Can Neural Networks Learn by Experimenting on Themselves? Self-Interventional Learning from Functional Consequences to Predictive Self-Knowledge 18 August 2026 | Machine-learning systems usually model external data, while their internal functional organization is analyzed by external observers. This work introduces Self-Interventional… | AI | Explainable Artificial Intelligence (XAI) |
| Can Unsupervised Methods Outperform Supervised Deep Learning When Ground Truth Is Sparse? A Case Study of Bronchovascular Bundle Segmentation in Low-Dose CT 18 August 2026 | Background Lung cancer remains the deadliest cancer worldwide because it is often diagnosed too late. Effective treatment depends on detection at an early screening stage.… | Pulmonary and Respiratory Medicine | Lung Cancer Diagnosis and Treatment |
| Decomposing Whole Slide Image Report Generation with Graph-Constrained Multiple Instance Learning Workflows 18 August 2026 | Whole-slide image (WSI) report generation requires recognizing spatially distributed pathological features and organizing them into a coherent diagnostic narrative. Although… | Vision | Multimodal Machine Learning Applications |
| AmalthAI: An Open-Source Computer Vision Platform for Cultural Heritage 14 August 2026 | Computer vision (CV) and machine learning (ML) offer new tools for cultural heritage (CH) artifact analysis, but the CV/ML pipeline remains largely inaccessible to CH domain… | Vision | Image Processing and 3D Reconstruction |
| Semantic Radiance Fields as Simulators for Spatial Reasoning in Real-World Scenes 14 August 2026 | Training and evaluating spatial reasoning in embodied agents requires diverse environments that are both geometrically faithful and semantically queryable. Synthetic simulators… | Vision | Multimodal Machine Learning Applications |
| COGENT: Counterfactual Gaussian Explanations for Volumetric Medical Images 13 August 2026 | Explainability is essential for deploying deep learning models in high-stakes medical applications. Existing explainability methods for volumetric imaging predominantly operate in… | AI | Explainable Artificial Intelligence (XAI) |
| From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning 12 August 2026 | We present TAR (Traffic Anomaly Reasoning) and TAR-Bench datasets, resources for training and evaluating video-language models beyond anomaly detection. TAR contains 44,040… | AI | Anomaly Detection Techniques and Applications |
| One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training 11 August 2026 | Whole slide images (WSIs) in digital histopathology are acquired at discrete magnification levels encoding complementary diagnostic information from global tissue architecture to… | AI | AI in cancer detection |
| SurakshaEval: An Indic Safety Benchmark for Multilingual LLMs 11 August 2026 | Existing safety evaluation datasets for large language models (LLMs) predominantly focus on English and Western contexts, often overlooking the linguistic diversity and culturally… | AI | Adversarial Robustness in Machine Learning |
| Jako Tako or Fluent? Presenting PoVisLE: A Polish Vision-Language Evaluation 11 August 2026 | Vision-language models (VLMs) have achieved strong performance on tasks such as image captioning, visual question answering, and image-to-text generation. However, they are… | Vision | Multimodal Machine Learning Applications |
| UQ-Loc: Uncertainty-Aware LiDAR Scene Coordinate Regression 7 August 2026 | LiDAR-based Scene Coordinate Regression (SCR) maps point clouds directly to 3D scene coordinates, enabling precise 6-DoF localisation without explicit map retrieval. However,… | Aerospace Engineering | Robotics and Sensor-Based Localization |
| Accurate Localization of Road Traffic Objects on the Road Plane Using Surveillance Camera Imagery 7 August 2026 | Accurate vehicle localization from monocular roadside surveillance cameras is important for intelligent transportation systems, traffic monitoring, and traffic conflict analysis.… | Automotive Engineering | Autonomous Vehicle Technology and Safety |
| Reachability in 3-VAS 6 August 2026 | We settle the exact complexity of the reachability problem in (stateless) vector addition systems (VAS) in fixed low dimension. In dimensions 2-4 it has only been known to be… | Computational Theory and Mathematics | Formal Methods in Verification |
| Disentangling Language Modeling and Boundaries 5 August 2026 | Byte-level language models are usually argued for on the grounds of robustness, multilingual fairness, and character-level skills. We point to a different, structural advantage:… | AI | Large Language Models |
| Weight-Space Mixture-of-Experts for Implicit Neural Representation Classification 3 August 2026 | Implicit Neural Representations (INRs) encode signals as the weights of a coordinate-based neural network and have recently been proposed as an alternative domain for downstream… | AI | Explainable Artificial Intelligence (XAI) |
| Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering 31 July 2026 | Recursive self-improvement (RSI) requires AI systems that improve the process of building AI (i.e., AI4AI); machine learning engineering (MLE) offers a concrete, executable… | AI | Machine Learning and Data Classification |
| Shieldstral 29 July 2026 | We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms models nearly 7$\times$ its size on text safety benchmarks and… | AI | Large Language Models |
Lab countries - last 90 days
Other countries
The world ranking as it appears on the dashboard. Click another country to open its page.
- United States38% · 26,375 papers
- China33% · 22,828 papers
- United Kingdom7.5% · 5,251 papers
- Germany7.2% · 4,984 papers
- India4.6% · 3,181 papers
- Canada4.5% · 3,159 papers
- France4.1% · 2,865 papers
- South Korea4.1% · 2,859 papers
- Hong Kong SAR China3.2% · 2,247 papers
- Japan3.2% · 2,234 papers
- Australia3.1% · 2,160 papers
- Italy2.9% · 1,987 papers
- Singapore2.8% · 1,952 papers
- Switzerland2.3% · 1,611 papers
Click a country to see only its research
Across 69,649 papers with at least one lab located, i.e. 76% of the 91,354 papers fully processed between 27 October 2025 and 21 August 2026. 167 countries represented.
This is the country of the laboratory, never the nationality of individuals. A paper signed from several countries counts for each of them, so the shares add up to more than 100%. Coverage is partial and the gap is not random: a researcher whose institution is unknown usually publishes little, which over-represents established labs.
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