Authoring Agent Skills: A Software-Engineering Approach
arXiv:2607.25032v1 Announce Type: cross Abstract: Agent Skills are an emerging way to extend large language model agents with reusable procedural knowledge that the agent loads on…
Papers 5480 stories
DuplexGen: Adaptive Synthesis of Human-AI Turn-Taking Dialogues
arXiv:2607.26178v1 Announce Type: new Abstract: Turn-taking is a central component of full-duplex interaction. Which turn-taking behaviors are appropriate varies with the scenario, yet current models apply…
Where Physics Meets Privacy: Federated PINNs for Privacy-Preserving Brain Tumor Biomechanical Modeling
arXiv:2607.26207v1 Announce Type: new Abstract: Brain tumors such as glioma, meningioma, and pituitary adenoma alter the mechanical behavior of soft brain tissue, yet common diagnostic methods…
Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer
arXiv:2607.26276v1 Announce Type: new Abstract: Background: Early prediction of distant metastasis (DM) risk in head and neck cancer (HNC) can enable timely interventions that may improve…
Early Verdicts, Better Budgets: Sequential Adaptive Rollout Allocation for Compute-Efficient RLVR
arXiv:2607.26253v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) is bottlenecked by rollout generation, yet many sampled prompts produce saturated groups (all responses correct…
Shared Symbolic Backbones for Physically Consistent Multi-Output Symbolic Regression
arXiv:2607.26528v1 Announce Type: new Abstract: Symbolic regression provides analytical expressions, but it is usually applied one output at a time. This is limiting in process systems,…
Randomizing the Number of Centers in k-means++
arXiv:2607.26202v1 Announce Type: cross Abstract: The $k$-means++ algorithm is a standard and widely used seeding method for $k$-means clustering, but for a fixed number $k$ of…
TopoGR: Revealing and Preserving Latent Structure of Semantic ID in Generative Recommendation
arXiv:2607.25216v1 Announce Type: cross Abstract: Semantic ID-based generative recommendation tokenizes each item into a sequence of discrete semantic IDs and predicts the next item by generating…
AgentGUI: An Interface for Observing and Steering Long-Running AI Agents
arXiv:2607.26300v1 Announce Type: new Abstract: AI agents are increasingly adept at tackling complex, long-running tasks. With the rapid surge of autonomous capabilities, human oversight is systematically…
Lag-aware cross-hand alignment for dual-hand action segmentation
arXiv:2607.26215v1 Announce Type: new Abstract: Dual-hand action segmentation commonly fuses left- and right-hand representations at identical temporal indices, although coordinated hand transitions may occur with nonzero…
A Closer Look at Dynamic Scene Graph Generation In the Era of Multimodal Large Language Models
arXiv:2503.15846v2 Announce Type: replace Abstract: Dynamic Scene Graph Generation (DSGG) aims to capture objects and their evolving relations in videos. Despite recent progress, the practicality and…
Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions
arXiv:2607.26955v1 Announce Type: cross Abstract: Minimax-optimal rates for multivariate distribution estimation are known to suffer from the curse of dimensionality. We propose a sparse Bayesian network…
Reconstructing Backpropagation from Forward Fluctuations in Noise-modulated Neural Networks
arXiv:2607.26483v1 Announce Type: new Abstract: A Noise-modulated Neural Network (NNN) learns and infers only in the presence of noise, treating noise as a computational resource rather…
Learning Controlled Stochastic Differential Equations
arXiv:2411.01982v2 Announce Type: replace Abstract: We study the problem of learning controlled stochastic differential equations (SDEs) [ dX_t = b(t,X_t,u_t),dt + sigma(t,X_t,u_t),dW_t, ] whose drift and…
Raven: High-Recall Sequence Modeling with Sparse Memory Routing
arXiv:2607.25357v1 Announce Type: cross Abstract: Long-context recall in linear-time sequence models highlights a tradeoff in how they write to memory. State-based linear models, such as state-space…
AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents
arXiv:2607.26998v1 Announce Type: cross Abstract: Large language model (LLM) agents automate penetration testing through an observation-action loop, selecting actions based on observations returned by tools. This…
Rad-JEPA 3D: Radiology Joint-Embedding Predictive Model for 3D Computed Tomography
arXiv:2607.26196v1 Announce Type: new Abstract: Self-supervised pretraining is central to 3D medical image analysis, where unlabeled CT volumes are abundant but expert annotations are scarce. Yet…
Minimax-Optimal Generalization Bounds for Smooth Deep Neural Networks Trained by (Stochastic) Gradient Descent
arXiv:2606.06772v2 Announce Type: replace-cross Abstract: Characterizing the optimization dynamics and statistical performance of over-parameterized deep neural networks (DNNs) remains a central challenge in understanding the remarkable…
Top-$k$ Pareto Bandits: Hypervolume Regret for Multi-Objective Slate Selection
arXiv:2607.26273v1 Announce Type: new Abstract: We consider a stochastic multi-objective bandit problem where, at each round, the agent selects a slate of $k$ arms and observes…
Optimizing Sensor Placement for Hydrogen Leak Detection in Enclosed Infrastructure: A Comparative Study Using CFD-informed Genetic Algorithm and DeepSets Neural Surrogate
arXiv:2607.26078v1 Announce Type: new Abstract: Hydrogen infrastructure in enclosed environments, such as parking facilities for fuel cell vehicles, presents significant safety challenges due to hydrogen's low…
Persistence Spheres: a Bi-continuous Linear Representation of Measures for Partial Optimal Transport
arXiv:2603.15384v2 Announce Type: replace Abstract: We improve and extend persistence spheres, introduced in~cite{pegoraro2025persistence}. Persistence spheres map an integrable measure $mu$ on the upper half-plane, including persistence…
Ratchet: A Minimal Hygiene Recipe for Self-Evolving LLM Agents
arXiv:2605.22148v2 Announce Type: replace-cross Abstract: Self-evolving skill libraries, pioneered by Voyager, let frozen LLM agents accumulate reusable knowledge without weight updates, yet recent evaluation shows that…
When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses
arXiv:2607.26348v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as synthetic users, stand-ins for human respondents whose simulated answers feed product, policy, and…
WildShadowRemover: In-the-Wild Video Shadow Removal via Detail-Preserving Video Diffusion Models
arXiv:2607.26203v1 Announce Type: new Abstract: Video shadow removal in the wild remains challenging due to complex illumination, diverse shadow appearances, and limited training data. Despite its…