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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 131
Automating Feature Flag Cleanup at Scale with Multi-Agent LLM Systems: An Industrial Experience at DoorDash
Feature flags are runtime configuration mechanisms used for gradual feature rollouts, experimentation, and kill switches.Muffin - A Shared Memory Buffer for Asynchronous AI Agents
The rise of Agentic AI systems has changed the landscape of artificial intelligence by enabling strong reasoning capabilities through specialized multi-agent interaction with structured…RIDAR: Safeguarding Research Integrity in Autonomous Research Agents via Automated Detection and Runtime Intervention
Autonomous research agents are increasingly used to automate large portions of scientific research, yet they are prone to research integrity violations (RIVs): behaviors that compromise the…Certified Execution Harness for Agentic AI: Safe and Least-Intrusive Petri-Net Supervisory Control Between Reasoning and Action
This paper studies the problem of safe tool execution for large language model (LLM) agents under prompt injection.AI Risk Ontologies for the EU AI Act Compliance: AIRO, VAIR, and their Integration with DPV
As the use of AI, and consequently its harms, becomes more prevalent, the global discourse around AI has become increasingly risk-aware.Auditing the Hand-Written Inputs of Learned Access Control
Learned access control is typically deployed behind two hand-built artefacts: a hard-deny set enforced by a small trusted shield, and a region map that decides which requests mined rules answer and…HERD: Harness-Evolving Recursive Distillation for Continual Learning
Continual learning requires a model to keep acquiring new skills and knowledge without compromising its existing capabilities.AgentPhishing: A Benchmark of LLM Email Agents Under Adaptive Attack
Computer-use agents increasingly handle private information and act on users' behalf across desktop and web applications, including email.Same Entity, Different Script: Diagnosing Cross-Script Entity Matching Failures in Language Models
Multilingual language models can give different identity judgments when the same people's names are written in different scripts.Major Revision, Minor Accountability: LLMs as Reviewers of Published Articles in Top-Tier Journals
With the growth of scientific output, the peer review system is approaching a breaking point: reviewers are increasingly hard to secure, and turnaround times lengthen accordingly.Post-Hoc Feature Selection Layer for Neural Networks Interpretability
The interpretability of complex neural networks remains a critical challenge, especially for models already deployed in high-stakes domains.How Depth Growth and Looping Shape In-Context Learning in Language Models
Looped and depth-grown language models reuse computations across depth and have attracted interest for their reasoning capabilities.FocusVLA: Future-Intent Guided Dynamic View Routing for Vision-Language-Action Models
Vision-language-action (VLA) models have become an important paradigm for robotic manipulation by unifying visual perception, language understanding, and action generation.Predictable performance is suboptimal, and what it means for model routing
Large language models (LLMs) differ in capabilities and costs, motivating routing methods that adaptively choose a model for each query.PhysTrace: Interpretable Temporal Evaluation of Physical Consistency in Video Generative Models
World action models increasingly rely on pretrained video models assumed to capture physical dynamics for prediction, planning, and action generation.Conservative Meta-Agent Search: Architecture Adaptation under Non-Stationarity
Automated agentic-system design is typically evaluated on static task suites with immediate scalar rewards.DIAL: Steerable Language Models with Distilled Instruction-Adherence Levels
When a user says "Keep it short", how short should the LLM's response be?Adaptive Skill Granularity for Coding Agents: Runtime Routing and Macro-to-Micro Recovery
Reusable skills allow large language model agents to package task-specific procedures, tool affordances, and execution guidance into modular units.MoG-VLM: Efficient Video Anomaly Detection through Motion-Guided Vision-Language Models
Vision-Language Models (VLMs) have shown strong potential for video anomaly detection, but dense frame-level inference makes them impractical for real-time deployment.Training Small Language Models for Transferable Tool Selection
As LLM agents operate over corpora of more than ten thousand tools, selecting the right tool for a complex multi-step user instruction becomes a central bottleneck.