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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 101
Beyond Federated Learning: Decentralized Agentic Systems for Self-Evolving Clinical Intelligence
Clinical expertise is inherently distributed: it resides not in any single dataset or institution but in the accumulated reasoning experiences of thousands of clinicians navigating diverse patient…EvoBench: An Evolving, Diagnostic Benchmark Framework for Environmental Modeling
Machine learning models are now widely used to predict environmental variable dynamics in domains like hydrology, climate science, agriculture, and ecology.An Interactive Evolutionary Multiobjective Optimization Algorithm Based on Interpretable Active Preference Learning
Many decision-making tasks are inherently multi-objective.Beyond Words Alone: Disentangling Distributed Evidence for Visually Grounded Cultural Translation
Social media enables cross-lingual communication, yet the meaning of user-generated content (UGC) is often distributed across text, images, and cultural knowledge, making translation challenging.ShutdownMod: Turning Any Trajectory into a Shutdown Evaluation
Theory and experiments suggest that capable AI agents may resist shutdown.The Hidden Costs of Forgetting: A Study of Trajectory Deletion in Software Engineering Agents
Software engineering agents resend their entire trajectory to an LLM at every turn, motivating online trajectory reduction.Test-Time Confidence Adaptation under RL-Induced Trajectory Shift
Trajectory-based confidence estimation has shown promising performance for large language models (LLMs) by leveraging rich signals from their reasoning processes.Governing Enterprise AI Traffic at Scale: Design and Operation of a Policy-Driven, Multi-Vendor LLM Gateway on Envoy
Large organizations consume large language models (LLMs) from several vendors at once, each with its own API dialect, credential model, streaming protocol and pricing.Generative Structure from Motion with Native 3D Diffusion
Recovering an object's 3D structure and camera motion from a few uncalibrated views is a fundamental problem in computer vision.Ranking Function Generation with LLMs for Termination
Ranking functions are a fundamental technique for proving loop termination, but constructing them manually is challenging and requires substantial expertise.CANS: Capability-Preserving Neuron Steering for Large Language Models
Activation steering offers training-free and dynamic control of target behaviors in large language models, but existing methods can impair general capabilities and require domain-specific…JANUS: Synthesizing Cross-Layer Defenses Against Web Deserialization Attacks
Unsafe deserialization turns untrusted data into attacker-controlled execution, and a single vulnerability can admit diverse exploit variants that evade defenses tailored to a known exploit.The Agent in the Middle: How AI-Mediated Access Reshapes Web Vulnerability Exploitation
Web services increasingly expose backend interfaces that let users delegate tasks to AI agents, which invoke service operations directly without navigating websites.Cross-Domain Sequential Recommendation with Representation-Level User Transfer
Cross-domain sequential recommendation aims to improve next-item prediction in a target domain by leveraging user behavior from auxiliary source domains.Multi-Fidelity Training Reshapes Uncertainty Decomposition in Atomistic Models
Multi-fidelity training, which combines abundant low-fidelity data with scarce high-fidelity labels, is increasingly common in atomistic modeling, but its effect on predictive uncertainty remains…ExCal: Optimization-Free Multivariate Time Series Anomaly Detection via Excess Calibration
We introduce ExCal, a normal-only multivariate time series anomaly detector that combines raw state retrieval, a signal/derivative subspace, and robust statistics across temporal scales.Infinity Machine: a self-improving AI agent for research
We present the Infinity Machine, a self-improving AI agent that we use for research on problems whose answers aprogram or data can check.Linear Probes Transfer from Base to Distilled Language Models despite Rotation
Linear probes, classifiers that read a language model's internal activations, are widely used to detect harmful requests.SAP-ViT: A Self-Attributing Patch Vision Transformer for Medical Image Classification
Vision Transformer (ViT) classifiers commonly rely on a global classification (CLS) token for image-level prediction, which is poorly aligned with local interpretability requirements in medical…Agentic Algorithm Design: LLMs that Propose, Formalise, and Prove Runtime Bounds for Evolutionary Algorithms in Lean
LLMs now prove hard theorems in Lean.