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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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AgenticCity-Bench: Longitudinal Multimodal Observations of Urban Dynamics with Agentic Reasoning
City systems are shaped by interactions among infrastructure, human activity, and environmental conditions.Application of Artificial Intelligence in the Management of Climate Change-Related Health Issues in Africa
While climate change disproportionately impacts African public health, AI predictive modeling remains heavily constrained.Did the Model Use That? Counterfactual Training Boosts Self-Attribution in Language Models
A fundamental challenge for explainable and accountable language models is revealing how external information influences their answers.LLM-Enhanced Heterogeneous Graph Learning with Business Semantics for Financial Fraud Detection
Financial fraud detection increasingly relies on heterogeneous transaction graphs, in which entities such as cards and merchants play distinct business roles and the risk meaning of an attribute…RSIV-Harness: A Recursive Self-Improvement Harness Framework for Open-Domain Conversational Text-to-Visualization
Users often request charts without knowing which database or table holds the relevant data.Constrained Decoding: Harmful or Beneficial? Revisiting Its Impact on LLM Performance
Constrained decoding guarantees that Large Language Models (LLMs) produce outputs conforming to predefined formats, but is often assumed to inherently degrade reasoning.Geometric Consistency Based Label-Free Validation for Checkpoint Selection in Audio Active Learning
Audio active learning (AL) trains a classifier at low annotation cost by labeling only an informative fraction of an unlabeled collection over successive rounds.RepoTrace: Improving Requirement Tracing in Multi-Round Agent Interactions
Code agents have become increasingly capable of performing software engineering tasks through interaction with software environments.Should Pseudo-Labels Share Mini-Batches with Labeled Examples? Semi-Supervised Continual Active Learning with Limited Training Cost
Active learning (AL) reduces annotation by querying informative examples.MarkovSim: an LLM Agent Harness with Bounded Context for Long-Horizon Computational Simulation
Recent studies have applied large language model (LLM) agent systems to computational simulation workflows.Shared-Factor-Conditioned Diffusion for Low-Rank Tensor Recovery
Tensor recovery spans heterogeneous data structures and observation processes, calling for a representation that can adapt across modalities and tasks.ACSAN: All-Convolutional Self-Attention Network Integrating Convolutional Operations with Vision Transformer
In the past few years, Vision Transformer (ViT) has achieved excellent performance in the field of computer vision.Autonomous Structural Discovery Of Bioprocess Dynamics And Kinetics Via LLM-Driven Agents
High-fidelity digital twins in continuous biomanufacturing are often bottlenecked by incomplete kinetic models, while standard data-driven algorithms (e.g., SINDy, PINNs) lack interpretability or…Belief-Conditioned Multi-Agent Actor Critic for Decentralized LLM Collaboration
Recent work has explored optimizing LLM collaboration through Multi-Agent Reinforcement Learning (MARL), but many approaches still rely on predefined workflows, limiting efficiency and scalability.AdaTrendLike: Adaptive Hierarchical Detrending and Trend Likelihood Scoring for Time Series Anomaly Detection
The rapid proliferation of Industrial Internet of Things devices has led to increasingly large-scale and non-stationary time-series data, posing significant challenges for time-series anomaly…NeSySpec: Neuro-Symbolic Technical Intelligence for Auditing Engineering Specifications with an Application to Aircraft
Engineers who audit a declared specification of an engineered system need to know which physical constraints it respects, which it violates, which field was altered and how to correct it.From Denoising Dynamics to Endpoint Uncertainty in Diffusion Language Models
Predictive uncertainty in stochastic language-model inference can be characterized by repeatedly sampling an input and measuring the distribution of outputs.Faithful Explanations under Missing Modalities in Multimodal Dementia Prognosis
Large language models are increasingly used to turn the feature attributions of multimodal prognostic models into narratives for clinicians, yet costly modalities such as amyloid PET and…Skill$^{\infty}$: Recursive Self-Improvement for Agent Skill Optimization
Recursive self-improvement (RSI), in which a system also improves the way it improves, is a long-standing aspiration on the path to AGI.Omni-InteractScope: Benchmarking Proactive and Agentic Interaction in Continuous Omnimodal Streams
Omnimodal large language models (Omni-LLMs) are increasingly expected to assist users while observing continuous audiovisual streams.