Cluster with Auctions for Vector Search
arXiv:2607.13728v1 Announce Type: cross Abstract: Large-scale approximate nearest neighbor search commonly relies on partitions for indexing: database vectors are partitioned into clusters, and for each query…
Papers 5627 stories
Interventional Grounding Audits: Black-Box Premise-Dependency Tests for LLM Chain-of-Thought via Predicate Substitution
arXiv:2607.13069v1 Announce Type: new Abstract: Large language models produce chain-of-thought (CoT) reasoning that appears logically sound yet may not genuinely depend on its stated premises. We…
FastCentNN: Accelerating Centroid Neural Network with Entropy Proxy
arXiv:2607.13613v1 Announce Type: cross Abstract: Centroid neural network (CentNN) is an unsupervised competitive learning algorithm in which centroid splitting is triggered only after strict local stabilization,…
Accuracy Without Grounding: Diagnosing Visual Dependency Dissociation in Video LLM Benchmarks
arXiv:2607.13305v1 Announce Type: new Abstract: Benchmark accuracy in video large language models (LLMs) is often treated as evidence of visual understanding. We audit this assumption across…
Quantum Topological Data Encoding
arXiv:2607.13847v1 Announce Type: cross Abstract: Many datasets encountered across a wide range of domains possess rich geometric and topological structure that is difficult to capture using…
Visual Place Recognition Using Rate-Encoded Spiking Neural Networks with Discrete STDP Learning
arXiv:2607.13584v1 Announce Type: new Abstract: Spiking Neural Networks (SNNs) trained through unsupervised Spike-Timing-Dependent Plasticity (STDP) have been explored as solutions to visual loop closure problems, driven…
Leveraging Differentiable PDE Solvers for Semi-Neural Spatial Reconstruction From Sparse Measurements
arXiv:2601.20496v2 Announce Type: replace Abstract: Generating dense physical fields from sparse measurements is a fundamental question in sampling, signal processing, and many other applications. State-of-the-art approaches…
Anatomically Faithful but Temporally Blind: Auditing Attribution for Left-Ventricular Ejection-Fraction Estimation from Echocardiography
arXiv:2607.13738v1 Announce Type: cross Abstract: Background and Objective: Deep video models estimate left-ventricular ejection fraction (EF) from echocardiography with near-expert accuracy, and post-hoc attribution (Chefer relevance…
Your Data Manifold is Secretly a Reward Model: Shell-LCC for Text-to-Video Generation
arXiv:2606.30248v2 Announce Type: replace Abstract: Recent text-to-video (T2V) diffusion models rely heavily on auxiliary reward signals (e.g., via reward models or DPO) to align generated content…
Kepler-Encoder-v0.1: Towards a Multimodal Embedding Model for Robots
arXiv:2607.13522v1 Announce Type: cross Abstract: A robot must understand the state of its own body, but a camera sees only part of it. Force and contact…
STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting
arXiv:2607.13108v1 Announce Type: new Abstract: Real-world traffic data exhibit heterogeneous spatial correlations and nonlinear temporal dynamics, posing substantial challenges for accurate spatio-temporal forecasting. Existing approaches have…
The impact of objective interactions on the performance of massive objective optimization algorithms
arXiv:2607.13377v1 Announce Type: new Abstract: Many-objective optimization has been a field of interest over the past two decades and several evolutionary optimization algorithms have been introduced…
DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention
arXiv:2607.13731v1 Announce Type: cross Abstract: Goal-conditioned reinforcement learning hinges on how the goal is encoded. Contrastive, metric, temporal-distance, and information-theoretic encoders differ in objective. They still…
Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science
arXiv:2607.13220v1 Announce Type: new Abstract: Most AI-for-science systems focus on scaling a single reasoning process through better models, larger context windows, long-horizon agentic execution, or digital…
Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation
arXiv:2607.12752v2 Announce Type: replace Abstract: While recent advances in 3D generation have enabled impressive visual synthesis, existing methods often rely on 2D diffusion supervision without explicit…
Reflecting Process Expertise in Procedural Material Generation
arXiv:2607.13318v1 Announce Type: new Abstract: Procedural material creation underpins applications in digital content creation, visual effects, and 3D asset design. Achieving high-quality results requires more than…
Multimodal Empirical Bayes Variational Autoencoders for Joint Longitudinal and Time-to-Event Modeling
arXiv:2607.13984v1 Announce Type: cross Abstract: Longitudinal tumor measurements, dropout information, and genetic covariates provide complementary information about treatment response, but integrating these data sources within a…
Hybrid multi-objective evolutionary algorithms for service placement in the computing continuum: a comparative study with genetic traceability
arXiv:2607.13200v1 Announce Type: new Abstract: This paper addresses multi-objective service placement in computing continuum environments through a collaborative hybrid island-model MOEA. The key innovation is not…
Uniform Approximation of Functions with Asymmetric Growth and Decay by Deep Weighted Polynomials
arXiv:2506.21306v2 Announce Type: replace-cross Abstract: Functions that grow without bound on one side of the real line and decay to zero on the other cannot be…
Unleashing Multimodal Large Language Models for Training-free HOI Detection in the Wild
arXiv:2607.13881v1 Announce Type: cross Abstract: Human-object interaction detection (HOID) has traditionally been formulated as a supervised detection problem over predefined interaction categories. While such paradigms achieve…
Just-In-Time Scene Graph Growth: Combating Perceptual Saturation in Long-Horizon Robotics
arXiv:2607.13245v1 Announce Type: new Abstract: While 3D Scene Graphs (3DSGs) provide crucial structured representations for embodied agents, conventional Ahead-of-Time, build-everything-then-filter pipelines conflict with the real-time, low-latency…
Recursive ArUco Markers: A Scalable Fiducial Marker Design for Unmanned Aerial Vehicle Landing Pads
arXiv:2607.13830v1 Announce Type: cross Abstract: Unmanned Aerial Vehicles (UAVs) increasingly rely on visual fiducial markers for autonomous navigation and precision landing. However, standard markers suffer from…
A Hybrid Mamba for Audio-Visual Navigation
arXiv:2607.13110v1 Announce Type: new Abstract: Since the paradigm centered on convolutional neural networks and recurrent architectures was established in 2020, the fundamental backbone networks for audio-visual…
Avoiding unsafe sets when training with Langevin Dynamics
arXiv:2607.07538v2 Announce Type: replace-cross Abstract: Training a model with noisy gradient descent can be idealized as overdamped Langevin dynamics, and a natural safety question is to…