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LOW Academic European Union

Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans

arXiv:2602.14100v1 Announce Type: new Abstract: Whether neural networks can serve as cognitive models of morphological learning remains an open question. Recent work has shown that encoder-decoder models can acquire irregular patterns, but evidence that they generalize these patterns like humans...

1 min 2 months ago
evidence
LOW Academic European Union

Federated Learning of Nonlinear Temporal Dynamics with Graph Attention-based Cross-Client Interpretability

arXiv:2602.13485v1 Announce Type: new Abstract: Networks of modern industrial systems are increasingly monitored by distributed sensors, where each system comprises multiple subsystems generating high dimensional time series data. These subsystems are often interdependent, making it important to understand how temporal...

1 min 2 months ago
trial
LOW Academic European Union

Data-driven Bi-level Optimization of Thermal Power Systems with embedded Artificial Neural Networks

arXiv:2602.13746v1 Announce Type: new Abstract: Industrial thermal power systems have coupled performance variables with hierarchical order of importance, making their simultaneous optimization computationally challenging or infeasible. This barrier limits the integrated and computationally scaleable operation optimization of industrial thermal power...

1 min 2 months ago
trial
LOW Academic European Union

MechPert: Mechanistic Consensus as an Inductive Bias for Unseen Perturbation Prediction

arXiv:2602.13791v1 Announce Type: new Abstract: Predicting transcriptional responses to unseen genetic perturbations is essential for understanding gene regulation and prioritizing large-scale perturbation experiments. Existing approaches either rely on static, potentially incomplete knowledge graphs, or prompt language models for functionally similar...

1 min 2 months ago
standing
LOW Academic European Union

GREPO: A Benchmark for Graph Neural Networks on Repository-Level Bug Localization

arXiv:2602.13921v1 Announce Type: new Abstract: Repository-level bug localization-the task of identifying where code must be modified to fix a bug-is a critical software engineering challenge. Standard Large Language Modles (LLMs) are often unsuitable for this task due to context window...

1 min 2 months ago
standing
LOW Journal European Union

Assessing States’ Obligations under the UN Guiding Principles on Business and Human Rights Post-Brexit

Private economic actors wield unprecedented influence over the enjoyment of human rights, yet legal systems remain uneven in their regulation of corporate responsibility. Against this backdrop, this article examines a largely underexplored post-Brexit trajectory, the regulatory divergence in the implementation...

2 min 2 months ago
jurisdiction
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Low 1377