arXiv:2603.12018v1 Announce Type: cross Abstract: Amidst the emergence of powerful intelligent technologies such as LLMs and text-to-image AIs that promise to enhance creative processes, designers face the challenges of remaining empowered and creative while working with these foreign digital partners. While generative AIs offer versatile, informative, and occasionally poetic outcomes, their lack of embodied knowledge […]
From Control to Foresight: Simulation as a New Paradigm for Human-Agent Collaboration
arXiv:2603.11677v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used to power autonomous agents for complex, multi-step tasks. However, human-agent interaction remains pointwise and reactive: users approve or correct individual actions to mitigate immediate risks, without visibility into subsequent consequences. This forces users to mentally simulate long-term effects, a cognitively demanding and often […]
Paper Title: LoV3D: Grounding Cognitive Prognosis Reasoning in Longitudinal 3D Brain MRI via Regional Volume Assessments
arXiv:2603.12071v1 Announce Type: cross Abstract: Longitudinal brain MRI is essential for characterizing the progression of neurological diseases such as Alzheimer’s disease assessment. However, current deep-learning tools fragment this process: classifiers reduce a scan to a label, volumetric pipelines produce uninterpreted measurements, and vision-language models (VLMs) may generate fluent but potentially hallucinated conclusions. We present LoV3D, […]
ECHOSAT: Estimating Canopy Height Over Space And Time
arXiv:2602.21421v2 Announce Type: replace-cross Abstract: Forest monitoring is critical for climate change mitigation. However, existing global tree height maps provide only static snapshots and do not capture temporal forest dynamics, which are essential for accurate carbon accounting. We introduce ECHOSAT, a global and temporally consistent tree height map at 10 m resolution spanning multiple years. […]
Automatic Generation of High-Performance RL Environments
arXiv:2603.12145v1 Announce Type: cross Abstract: Translating complex reinforcement learning (RL) environments into high-performance implementations has traditionally required months of specialized engineering. We present a reusable recipe – a generic prompt template, hierarchical verification, and iterative agent-assisted repair – that produces semantically equivalent high-performance environments for <$10 in compute cost. We demonstrate three distinct workflows across […]
Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks
arXiv:2603.11676v1 Announce Type: cross Abstract: Although the temporal spike dynamics of spiking neural networks (SNNs) enable low-power temporal pattern capture capabilities, they also incur inherent inconsistencies that severely compromise representation. In this paper, we perform dual consistency optimization via Stable Spike to mitigate this problem, thereby improving the recognition performance of SNNs. With the hardware-friendly […]
WORKSWORLD: A Domain for Integrated Numeric Planning and Scheduling of Distributed Pipelined Workflows
arXiv:2603.12214v1 Announce Type: cross Abstract: This work pursues automated planning and scheduling of distributed data pipelines, or workflows. We develop a general workflow and resource graph representation that includes both data processing and sharing components with corresponding network interfaces for scheduling. Leveraging these graphs, we introduce WORKSWORLD, a new domain for numeric domain-independent planners designed […]
The Latent Color Subspace: Emergent Order in High-Dimensional Chaos
arXiv:2603.12261v1 Announce Type: cross Abstract: Text-to-image generation models have advanced rapidly, yet achieving fine-grained control over generated images remains difficult, largely due to limited understanding of how semantic information is encoded. We develop an interpretation of the color representation in the Variational Autoencoder latent space of FLUX.1 [Dev], revealing a structure reflecting Hue, Saturation, and […]
IDRL: An Individual-Aware Multimodal Depression-Related Representation Learning Framework for Depression Diagnosis
arXiv:2603.11644v1 Announce Type: cross Abstract: Depression is a severe mental disorder, and reliable identification plays a critical role in early intervention and treatment. Multimodal depression detection aims to improve diagnostic performance by jointly modeling complementary information from multiple modalities. Recently, numerous multimodal learning approaches have been proposed for depression analysis; however, these methods suffer from […]
Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper
arXiv:2511.04583v4 Announce Type: replace Abstract: Understanding the current capabilities and risks of AI Scientist systems (autoresearch) is essential for ensuring trustworthy and sustainable AI-driven scientific progress while preserving the integrity of the academic ecosystem. To this end, we develop Jr. AI Scientist, a state-of-the-art autonomous AI scientist system that mimics the core research workflow of […]
Mobile-Agent-RAG: Driving Smart Multi-Agent Coordination with Contextual Knowledge Empowerment for Long-Horizon Mobile Automation
arXiv:2511.12254v3 Announce Type: replace Abstract: Mobile agents show immense potential, yet current state-of-the-art (SoTA) agents exhibit inadequate success rates on real-world, long-horizon, cross-application tasks. We attribute this bottleneck to the agents’ excessive reliance on static, internal knowledge within MLLMs, which leads to two critical failure points: 1) strategic hallucinations in high-level planning and 2) operational […]
Extracting useful information about reversible evolutionary processes from irreversible evolutionary accumulation models
arXiv:2601.13010v2 Announce Type: replace Abstract: Evolutionary accumulation models (EvAMs) are an emerging class of machine learning methods designed to infer the evolutionary pathways by which features are acquired. Applications include cancer evolution (accumulation of mutations), anti-microbial resistance (accumulation of drug resistances), genome evolution (organelle gene transfers), and more diverse themes in biology and beyond. Following […]