Learning-Based Planning for Improving Science Return of Earth Observation Satellites
arXiv:2509.07997v1 Announce Type: new Abstract: Earth observing satellites are powerful tools for collecting scientific information about our planet, however they…
Individual utilities of life satisfaction reveal inequality aversion unrelated to political alignment
arXiv:2509.07793v2 Announce Type: replace-cross Abstract: How should well-being be prioritised in society, and what trade-offs are people willing to make…
Skeleton-based sign language recognition using a dual-stream spatio-temporal dynamic graph convolutional network
arXiv:2509.08661v1 Announce Type: cross Abstract: Isolated Sign Language Recognition (ISLR) is challenged by gestures that are morphologically similar yet semantically…
Robust Belief-State Policy Learning for Quantum Network Routing Under Decoherence and Time-Varying Conditions
arXiv:2509.08654v1 Announce Type: cross Abstract: This paper presents a feature-based Partially Observable Markov Decision Process (POMDP) framework for quantum network…
Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models
arXiv:2509.07027v2 Announce Type: replace-cross Abstract: We propose a novel regularization loss that enforces standard Gaussianity, encouraging samples to align with…
Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference
arXiv:2509.07571v1 Announce Type: cross Abstract: The rapid advancement of large language models (LLMs) and domain-specific AI agents has greatly expanded…
A Mixed User-Centered Approach to Enable Augmented Intelligence in Intelligent Tutoring Systems: The Case of MathAIde app
arXiv:2508.00103v3 Announce Type: replace-cross Abstract: This study explores the integration of Augmented Intelligence (AuI) in Intelligent Tutoring Systems (ITS) to…
COMMA: A Communicative Multimodal Multi-Agent Benchmark
arXiv:2410.07553v3 Announce Type: replace Abstract: The rapid advances of multimodal agents built on large foundation models have largely overlooked their…
Forecasting Russian Equipment Losses Using Time Series and Deep Learning Models
arXiv:2509.07813v1 Announce Type: cross Abstract: This study applies a range of forecasting techniques,including ARIMA, Prophet, Long Short Term Memory networks…
Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference
arXiv:2509.06942v2 Announce Type: replace Abstract: Recent studies have demonstrated the effectiveness of directly aligning diffusion models with human preferences using…