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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 25
SpecCTMC: Exact Speculative Simulation of Diffusion Language Model Continuous-Time Markov Chains
Masked diffusion language models offer parallel text generation, but independently sampling multiple tokens can disrupt their dependencies and change the output distribution.StrataFlux: Memory-Hierarchy-Native Low-Bit LLM Inference
Quantization reduces the memory and bandwidth demands of large language model (LLM) inference but can degrade accuracy; offloading higher-precision data can instead stall generation.SHORE: Stability-Hybrid On-Policy Reinforcement Learning for Online Bin Packing
Online 3D bin packing with a processing buffer requires choosing which box to pack, its orientation, and its placement while keeping the stack stable under unknown future arrivals.VisionSIM: Beyond Idealized Sensors - A Multi-Modal Simulator for Robot Perception
Robotic perception increasingly relies on heterogeneous sensor suites combining cameras with emerging modalities (event, SPAD, iToF/dToF, and thermal).NPCBench: A Clinical Apprenticeship Benchmark for Multimodal Care-Pathway Reasoning in Nasopharyngeal Carcinoma
Current medical benchmarks typically break down clinical competence into isolated factual questions, single-image tasks, or static case vignettes.MOMASPLAT: Dynamic Novel-View Demonstration Augmentation for Mobile Manipulation
Visuomotor policies trained through imitation learning are highly sensitive to changes in camera viewpoint.SLA: Scaling Spatial-Language-Action Model via Continual Pre-training
Reliable robotic manipulation requires both semantic understanding and precise control in three-dimensional space.Muir: Linear Attention with Sensitivity-Allocated Gating and Matched-Filter Readout
Linear attention compresses context into a fixed-size key-value state for linear-time training and constant-memory inference.Module-Aware Optimization for Graph Neural Networks
Different optimizers impose different geometries on parameter updates.FedReason: Large Language Models as Weight-Space Meta-Aggregators for Heterogeneous Federated Learning
Federated learning servers combine client models with a fixed aggregation rule, and each rule in common use is designed for one kind of heterogeneity.Hybrid Machine Learning for Imbalanced Landing-Phase Safety Event Prediction from Flight Data
Landing-phase safety-event prediction requires the detection of rare abnormal approaches within strongly imbalanced multivariate flight data.When Less is More: Emerging Network-Wide Use Cases for Hollow-Core Fibers in Optical Networks [Invited]
Hollow-Core Fiber (HCF) is emerging as a disruptive technology for next-generation optical networks, offering 30\% lower propagation latency than standard Single-Mode Fiber (SMF), record-low…SCALE: Real-Time Latent Communication for Cyber-Physical Agents
Latent communication enables agents to collaborate efficiently by directly exchanging intermediate model representations rather than raw sensor data or text messages.Learning a patient world model for health system simulation in intensive care
Designing healthcare strategies requires anticipating their clinical and operational consequences before implementation, a task that often relies on health system simulation.Adaptive Low-Light Enhancement for Road Anomaly Detection: A Multi-Architecture Benchmark and Edge Deployment Study
Road anomaly detection systems on autonomous vehicles must function reliably under degraded visual conditions including darkness, rain, and Harmattan dust haze.Synthesis of Ovarian Cancer Multi-Omics Datasets: A Biology-Informed Evaluation Framework
Paired multi-omic cancer cohorts are costly to assemble and difficult to share, motivating synthetic cohorts as a complementary resource.A Near-Optimal Generalized Sorting Algorithm
We continue the study of the classic \emph{generalized sorting problem}, a basic variant of ordinary sorting.A Multimodal Haptic Interface for Simultaneous Softness and Thermal Modulation
Haptic interactions, such as touching an object in virtual reality, involve detecting a plethora of sensations through the skin.StepBack: Step-Level Error-Localized Resampling for Efficient Test-Time Reasoning
Self-consistency (SC) is a widely used decoding strategy for improving chain-of-thought reasoning, but it requires sampling many complete reasoning trajectories with a preset budget.Social Humanoid: Socially Responsive Human-Humanoid Interaction
Humanoid robots are typically trained as solitary agents, leaving them unable to coordinate physically with human partners who naturally anticipate and adjust to one another.
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