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…
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…
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…
Optimal Question Selection from a Large Question Bank for Clinical Field Recovery in Conversational Psychiatric Intake
arXiv:2604.22067v1 Announce Type: cross Abstract: Psychiatric intake is a sequential, high-stakes information-gathering process in which clinicians must decide what to…
Cross-Stage Coherence in Hierarchical Driving VQA: Explicit Baselines and Learned Gated Context Projectors
arXiv:2604.22560v1 Announce Type: cross Abstract: Graph Visual Question Answering (GVQA) for autonomous driving organizes reasoning into ordered stages, namely Perception,…
AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model Selection
arXiv:2602.11931v2 Announce Type: replace-cross Abstract: Evolutionary agentic systems intensify the trade-off between computational efficiency and reasoning capability by repeatedly invoking…
EvoAgent: An Evolvable Agent Framework with Skill Learning and Multi-Agent Delegation
arXiv:2604.20133v2 Announce Type: replace Abstract: This paper proposes EvoAgent – an evolvable large language model (LLM) agent framework that integrates…
Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity
arXiv:2604.22018v1 Announce Type: cross Abstract: Several brain foundation models (FM) have recently been proposed to predict brain disorders by modelling…