Country of the labs · world rank 41
AI research: New Zealand
Located papers
225
This month
0
−100% vs previous month
Subjects covered
114
This page only covers the 225 papers with at least one laboratory traced to this country, between 27 October 2025 and 13 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: New Zealand
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.
Multimodal Machine Learning Applications
Vision
Advanced Graph Neural Networks
AI
Large Language Models
AI
Generative Adversarial Networks and Image Synthesis
Vision
Remote Sensing and LiDAR Applications
Environmental Engineering
Adversarial Robustness in Machine Learning
AI
Reinforcement Learning in Robotics
AI
Teaching and Learning Programming
Computer Science Applications
20 most recent papers
Latest ingests
| Paper | Abstract | Theme | Topic |
|---|---|---|---|
| AWARe: Mitigating Catastrophic Forgetting via Activation-Weighted Adaptive REtention 13 August 2026 | Multimodal Large Language Models (MLLMs) exhibit strong generalization and reasoning abilities due to large-scale multimodal pre-training. However, fine-tuning these models on… | Vision | Multimodal Machine Learning Applications |
| Topology-Aware Global-Local Mamba Networks for Palm Vein Biometrics 11 August 2026 | Palm-vein recognition is a fine-grained biometric task in which both local vascular texture and the global layout of the vessel tree carry discriminative information, while public… | Signal Processing | Biometric Identification and Security |
| EgoAfford: Task-Oriented Affordance Grounding via Egocentric Referring Segmentation 6 August 2026 | Part-level affordance grounding has advanced the localization of functional object regions associated with elemental actions. Extending this capability to complex tasks calls for… | Vision | Multimodal Machine Learning Applications |
| Divergent large language model predictions from convergent representations in ambiguous word pairs 4 August 2026 | In this work we investigate how decoder-only transformers resolve lexical ambiguity through layer-by-layer analysis of three models spanning three parameter sizes… | Neuroscience | Neurobiology of Language and Bilingualism |
| Robust 6-DoF Object Pose Tracking with Built-In Recovery under Occlusions and Rapid Object Motions 28 July 2026 | Real-time 6-DoF object pose tracking is essential for many robotics applications, and several approaches exist. Yet even today's approaches remain unreliable under temporary full… | Vision | Video Surveillance and Tracking Methods |
| Joint Flow Matching for Generator-Consistent Classification 28 July 2026 | We introduce Joint Flow Matching (JFM), a training framework for continuous normalising flows over multiple variables. Standard flow matching transports variables from noise to… | Vision | Generative Adversarial Networks and Image Synthesis |
| Did Alice Do Wrong? Cross-Cultural Differences in Student Perceptions of Generative AI Use in University Computing Education 23 July 2026 | The rise of generative AI (GenAI) in higher education has prompted urgent debates surrounding academic integrity and ethical use. This study examines cross-cultural differences in… | Safety Research | Academic integrity and plagiarism |
| DARA: Degradation-Aware Low-Rank Residual Adaptation with Original-to-Corrupted Distillation for Corruption-Robust Animal Re-Identification 21 July 2026 | Animal re-identification (Re-ID) relies on fine-grained identity cues that can be disrupted by blur, noise, compression, and other visual degradations. Existing robustness… | Vision | Advanced Neural Network Applications |
| Semantic Hardness Is Not Visual Hardness: Sign-Aware Hard Negative Mining for Sign Language Retrieval 13 July 2026 | Sign Language Retrieval (SLRet) enables efficient access to sign language content but remains fragile in fine-grained scenarios where visually similar signs must be distinguished.… | Human-Computer Interaction | Hand Gesture Recognition Systems |
| Vision Language Action (VLA) Models for Unmanned Aerial Robotics and Bimanual Manipulation: A Review 9 July 2026 | Vision Language Action (VLA) models unify visual perception, natural-language understanding, and action generation within a single foundation model, allowing a robot to follow… | Vision | Multimodal Machine Learning Applications |
| Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering 9 July 2026 | Large language models (LLMs) achieve promising results on medical question answering benchmarks, yet their use in public health is constrained by hallucinations and the rapid… | AI | Large Language Models |
| Say What? Examining Text and Voice Input Modalities for Prompt-Based Programming in Computing Education 8 July 2026 | Large language models (LLMs) are increasingly integrated into computing education, yet nearly all prior research has focused on text-based interactions. As voice-enabled… | Computer Science Applications | Teaching and Learning Programming |
| Nemotron-Labs-3-Puzzle-75B-A9B: Compressing Hybrid MoE LLMs 7 July 2026 | We present Nemotron-Labs-3-Puzzle-75B-A9B, a compressed variant of Nemotron-3-Super optimized for interactive deployment. We designed the model to maximize server throughput under… | Networks | IoT and Edge/Fog Computing |
| When AI Is Wrong on Purpose: How Students Respond to Buggy GenAI Code 7 July 2026 | As Generative AI (GenAI) becomes increasingly central to software development, CS education is integrating prompt-centered workflows where students describe intended program… | Computer Science Applications | Teaching and Learning Programming |
| Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks 7 July 2026 | Learning to communicate with code-generating AI models is an emerging skill for novice programmers. One recent pedagogical approach, Prompt Problems, has students solve… | Computer Science Applications | Teaching and Learning Programming |
| Pre-Flight: A Benchmark for Evaluating Large Language Models on Aviation Operational Knowledge 3 July 2026 | Large language models (LLMs) are increasingly proposed for aviation business operations, from documentation and training generation to customer facing assistants. General purpose… | Aerospace Engineering | Air Traffic Management and Optimization |
| Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision 1 July 2026 | Despite recent progress, the reasoning capabilities of large multimodal language models (MLLMs) remain fundamentally constrained by static supervision, where fixed prompts, rules,… | Vision | Multimodal Machine Learning Applications |
| Safety from Honesty in a Disinterested AI Predictor 30 June 2026 | As AI systems become more capable, training procedures that optimize for downstream outcomes risk introducing implicit agency: goal-directed behavior that designers never… | Safety Research | Ethics and Social Impacts of AI |
| Deterministic Decisions for High-Stakes AI. A Zero-Egress Pipeline with the Deployability of RAG and the Accuracy of Machine Learning 30 June 2026 | We identify intervention bias as a previously unquantified failure mode of zero-shot large-language-model (LLM) educational advisory agents: without task-specific training, they… | AI | Intelligent Tutoring Systems and Adaptive Learning |
| Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding 29 June 2026 | Large Vision-Language Models (LVLMs) exhibit sophisticated reasoning but remain susceptible to object hallucination. Deviating from the prevailing attention intensity assumption,… | AI | Adversarial Robustness in Machine Learning |
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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