Causal Learning with Neural Assemblies
arXiv:2604.26919v1 Announce Type: cross Abstract: Can Neural Assemblies — groups of neurons that fire together and strengthen through co-activation —…
Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
arXiv:2604.25313v2 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) models frequently produce answers grounded in parametric memory rather than the retrieved…
Improving Robustness of Tabular Retrieval via Representational Stability
arXiv:2604.24040v2 Announce Type: cross Abstract: Transformer-based table retrieval systems flatten structured tables into token sequences, making retrieval sensitive to the…
An Intelligent Fault Diagnosis Method for General Aviation Aircraft Based on Multi-Fidelity Digital Twin and FMEA Knowledge Enhancement
arXiv:2604.22777v1 Announce Type: new Abstract: Fault diagnosis of general aviation aircraft faces challenges including scarce real fault data, diverse fault…
A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies
arXiv:2604.22227v2 Announce Type: replace-cross Abstract: Classical robot ethics is often framed around obedience, most famously through Asimov’s laws. This framing…
End-to-End Learning for Partially-Observed Time Series with PyPOTS
arXiv:2604.24041v1 Announce Type: cross Abstract: Partially-observed time series (POTS) is ubiquitous in real-world applications, yet most existing toolchains separate missing-value…
Universal Transformers Need Memory: Depth-State Trade-offs in Adaptive Recursive Reasoning
arXiv:2604.21999v2 Announce Type: replace-cross Abstract: We study learned memory tokens as computational scratchpad for a single-block Universal Transformer (UT) with…
Math Takes Two: A test for emergent mathematical reasoning in communication
arXiv:2604.21935v1 Announce Type: new Abstract: Although language models demonstrate remarkable proficiency on mathematical benchmarks, it remains unclear whether this reflects…
