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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 24
LLM-Assisted Label Noise Correction for EEG-Based Sleep Stage Classification
Automatic sleep stage classification from electroencephalography (EEG) signals is a critical task in clinical sleep medicine.Trilemma: How Agents choose between Honesty, Confidentiality, and Task Completion
Personal AI agents often act on underspecified instructions and draw on context such as their user's messages and calendar to decide how to proceed.Interpretable many-body interaction laws for collective motion from few trajectories
Models of collective motion usually reduce social interactions to pairwise forces, despite empirical evidence for many-body effects.Benchmarking Large Language Models on Heterogeneous Cognitive and Biomedical Knowledge Graphs: The Role of Graph Grounding in Multi-Hop Reasoning and Hallucination Mitigation
Large language models (LLMs) are increasingly used in biomedical and cognitive neuroscience, but their ability to reason reliably over heterogeneous knowledge graphs (KGs) remains unclear.Learning the Task or Learning the Verifier? Rethinking Criteria Exposure in Embodied Self-Improvement
Self-improving embodied agents are increasingly being developed and compared on robot simulation benchmarks.ControlAnything: Generative UI and On-Demand Device Integration for Mixed-Reality Hand Interaction by a Coding Agent
Connecting hand input in mixed reality (MR) to a nearby physical device typically requires an integration written in advance for that device, its transport and the mapping.Polarity Classification with Multitask Learning Syntax Augmentation
Sentiment Analysis (SA) is a fundamental NLP task concerned with the identification and categorization of subjective information in text.Decision Models as Retrieval Gates Against Injection and Pollution
Retrieved web text can carry instructions aimed at the language model, or synthetic pages written to mislead.InstantHand: Feed-Forward 3D Gaussian Splatting for Animatable Hand Avatar Reconstruction from a Single Image
Hand avatar reconstruction typically relies on multi-view capture or per-subject optimization, limiting its scalability.Cultural Adaptation within Repeated Social Interactions
Much of human culture is tacit and is typically learned through situated social interaction.Discovering Learning Rules that Shape Others
In general-sum games, self-interested learners can reach outcomes that are poor for everyone, which has motivated methods that shape the opponent's learning.GPWM: Modeling the World as 3D Particle Motion
We introduce GPWM, a Generative Particle World Model that predicts how 3D scenes evolve by generating the motion of particles and rigid bodies over time.Enhancing Local and Global Structure in Compressed AI Agent Memory
AI agents store text as embedding vectors and compress them at scale.4D Point Splatting for mmWave Radar Micro-Doppler Differentiable Rendering
Millimeter-wave radar resolves the micrometer displacements of a moving body as micro-Doppler, enabling gait, gesture, activity, pose and vital-sign sensing.Connectivity in a New Bounded-Space Dynamic Model
We introduce a new model for dynamic algorithms in which the algorithm has read-only oracle access to a dynamically changing input and random access to its own bounded workspace.USB Gym: A Gymnasium Testbed for Closed-Loop Ultrasound View Matching
Background and Objective: Our main goal is ultrasound guidance: moving a probe until its image matches a target view.Unifying Central Flow, Rod Flow, and the Edge Coupling
At the edge of stability, the iterates of gradient descent oscillate along the sharp directions of the Hessian.A Theoretical Analysis of a Bilevel Optimization Formulation for Combined Local-Global Optical Flow Models
This paper analyzes a bilevel formulation for learning the regularization parameter of combined local-global (CLG) optical flow models.OraRefer: Segmentation-Guided Multi-Photograph Fusion for Oral Cancer Screening with Guaranteed Patient-Level Sensitivity
Oral cancer and the oral potentially malignant disorders (OPMD) that can precede it are visible on the oral mucosa, which makes smartphone photographs a promising tool for screening.Radio-to-Pose Information for Gauge-Drift Correction in Cooperative Localization
Cooperative localization uses odometry and inter-robot measurements to estimate the motion of a robot team.
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