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Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 52
S1CogBench: What System One Decision Models Can and Cannot Do on Cognitive Experiments
Language models are no longer used only to generate text.TreePIN$^{2}$: Tree-Prior Initialized Neural Networks
Fitted decision trees provide predictive knowledge for neural network initialization.Illusion: Safeguarding Topology Confidentiality in LLM Multi-Agent Systems via Behavior-Preserving Obfuscation
The communication topology of Large Language Model Multi-Agent Systems (LLM-MASs) governs how information propagates among agents and encodes critical domain knowledge and expert workflow design.UI-UG 2: Advancing Mobile UI Understanding and Generation with Fine-Grained Supervision and Reinforcement Learning
Mobile UI understanding and generation require both fine-grained component perception and reliable structured synthesis.Labadain-MedQA: A Tetun Medical QA Dataset for Fine-Tuning and Evaluating Large Language Models
Advances in large language models (LLMs) have created opportunities for cross-lingual transfer of medical knowledge from high-resource to low-resource languages to support access to healthcare…MarkovTS: Pretrained State-Transition Representations for Zero-Shot Time Series Generation
Across heterogeneous real-world domains, time-series generation supports simulation, model development, and data augmentation by generating sequences that preserve target-domain statistics and…SNAPPerf: Software-Aware Tabular Foundation Model for Retraining-Free Performance Prediction of Configurable Systems
Modern software systems expose hundreds of configuration options whose combinations can substantially affect execution time, memory and energy usage.HieraNTP: Structured Risk Representations for Time-Series Anomaly Detection via Hierarchical Next-Token Prediction
Time-series anomaly detection commonly converts deviations from learned temporal regularities into anomaly scores.Self-Refining Prompt Induction for Streaming Text-to-SQL
Text-to-SQL assistants for streaming engines must handle dialect-specific types, windowing rules, and temporal semantics, including constructs poorly handled by generic prompts.4K Image Super-Resolution on Mobile NPUs: Mobile AI 2026 Challenge Report
Image super-resolution is widely used on mobile devices for upscaling various types of image data.Efficient Image Denoising on Smartphone GPUs: Mobile AI 2026 Challenge Report
Image denoising is a fundamental problem in mobile photography.A Token Is Not a Unit of Difficulty: Segmentation Controls Where Adaptive Computation Goes Inside a Word
Early-exit language models decide for each token how much computation to spend, usually by stopping once the prediction is confident.Pulse: Long-Horizon Tasks Need Streaming Personalization
Large language model agents increasingly undertake complex, long-horizon tasks that benefit from sustained personalized support through long-term memory.GURU: A Hierarchical Neuro-Symbolic Multi-Agent System for Verification-Aware Automation of Mission-Critical Digital Engineering and Operations
An AI can find a safe action faster than any human, but it must never decide what counts as safe.Leap-VLA: High-Rate Robot Control from a Low-Rate VLM Backbone
Vision-language-action (VLA) models re-encode the full observation through a multi-billion-parameter vision-language model (VLM) at every control step, even though scene semantics evolve at roughly…IJev: Order-Invariant Decisions via Iterated Cyclic Reordering
System One decision models answer a choice question in one forward pass, but their answer depends on the order in which options are listed, and their probabilities carry a prior over answer labels.Constraint Dependency Graph Retrieval for Compliance Detection on Long SKILL Documents
Large Language Model (LLM) agents carry out business operations under enterprise documents we refer to as SKILL documents, which take the form of standard operating procedures (SOPs) that state the…Dependable Agents Need Hard and Fuzzy Rules
Language models let software read requests in ordinary language, but they keep rules as people do: usually, and less so under pressure.Temperature, Not Knowledge: What Recursive Self-Training and Its Remedies Do to a Language Model's Confidence
Recursive self-training can collapse language models, and many proposed remedies target overconfidence, yet their effects on confidence are rarely measured.Appointed-Time Fault-Tolerant Fast Terminal Sliding Control for UAVs with a Tracking Error-Based Disturbance Observer
This paper addresses the critical challenge of high-performance fault-tolerant tracking control for quadrotor UAVs under complex conditions including external disturbances, parameter uncertainties…