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Computer Science & AI
Much of the new work in computer science and AI appears first as a preprint on arXiv. ReadSearch reads those listings every day, with papers OpenAlex files under the same subjects, and this page shows the newest it has, from machine learning and language to systems, theory and security.
The newest 1,000 papers, from 4 November 2026 to 5 November 2026: 1,000 arXiv preprints.
Newest papers, page 10
ArtCrafter: Feed-Forward Generation of Articulated 3D Object with Analytic Joint Derivation
Articulated 3D assets are essential for robotic simulation and training, yet their generation from casual images poses a key challenge: recovering part geometry and kinematics that remain mutually…Simple Meta-Learning for HPO and CASH Using Performance Representations
Bayesian optimization for Hyperparameter Optimization (HPO) and Combined Algorithm Selection and Hyperparameter Optimization (CASH) often relies on explicit hyperparameter encodings as surrogate…A Universal Threshold Theory for Local Properties of Random Linear Codes
Thresholds for local properties tell us which guarantees to expect from random linear codes (RLCs) and help us carry those guarantees over to structured codes.Which Objects Stay? Learning Hierarchical Persistence Beliefs for Lifelong Open-Vocabulary Object Maps
Lifelong object maps must estimate whether an object remains at its previously observed location after it leaves view.Energy-Aware Open-Vocabulary Detection Scheduling for Low-Power Robotic Autonomy
Open-vocabulary object detection (OVD) lets robots search for run-time object queries, but fixed-rate inference spends embedded compute on low-value frames during idle motion, map revisits, or…CoGenRec: A Unified Generative Framework for Complementary Vision Reconstruction
Capturing scenes with extreme motion and high dynamic range is fundamentally constrained by trade-offs among temporal resolution, spatial detail, signal-to-noise ratio, and dynamic range under…Extracting Single-Mode Rayleigh--Taylor Instability dynamics from data via SINDy
Rayleigh-Taylor instability (RTI) is of fundamental importance in fields such as inertial confinement fusion and supernova explosions, and its evolution is commonly described by potential--flow…Who Should Know What? Empirical Information Design for Multi-Agent LLM Economies
The performance of multi-agent LLM systems depends not only on the capabilities of the underlying models but also on information-sharing policies, which govern what information each agent observes…An Information Bottleneck for Post-hoc Memorization Mitigation in LLMs
Recent studies have shown that large language models (LLMs) can memorize and reproduce copyrighted training data, raising serious privacy and intellectual property concerns.Calibrated Target Noise Recovers Curvature from the Gradients
Estimating curvature information from gradients alone is a fundamental problem in machine learning.Egocentric Action Recognition with Objects and Vision-Language Affordances
Action recognition, and more specifically egocentric action recognition, is a core task in computer vision, with applications such as monitoring the daily life activities of elderly people and task…Instrumental Variables in Continuous-Time Stochastic Processes
Causal questions often arise in systems that evolve in continuous time.Randomized Parallel Complexity of Weakly Convex Optimization
We study the minimum number of query rounds needed to find approximate stationary points of nonsmooth weakly convex functions, measured by the gradient of the Moreau envelope.$O(1/n)$ Convergence Rate for RVI $Q$-Learning
We establish finite-time convergence guarantee for synchronous relative value iteration (RVI) $Q$-learning for finite weakly communicating Markov decision processes (MDPs).GEKey: Learning Geodesic Eccentric 3D Keypoints via Self-Supervision
Point clouds represent 3D object geometry as sets of spatial coordinates.Adversarially Robust Streaming Algorithms for $(k, z)$-Clustering
We design adversarially robust algorithms for dynamic geometric streams that $(1 + ε)$-approximate $k$-Median and $k$-Means in Euclidean space $\mathbb{R}^d$, using $\tilde{O}(kd…PhySA: Decoupling Aesthetic and Physical Rewards for Humanoid Locomotion
Humanoid locomotion policies trained without an explicit smoothness objective tend to produce jerky, high-energy gaits that stress actuators.DEQ-Det: Dual Evidence Queries for Few-Shot Analog IC Device Detection
Detecting analog integrated circuit (IC) devices in layout images supports circuit analysis and inspection.ReferClaw: Disambiguating User Intent for Egocentric Assistance
Users of egocentric AI assistants often ask short, ambiguous questions whose intended referents cannot be uniquely resolved from video and dialogue history.Not Losing Your Way: Mitigating Visual-Inertial Odometry Drift through On-Demand Visual Feature Creation
Visual-inertial odometry (VIO) can degrade during aerial inspection in repetitive or poorly textured environments.
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