AI & Machine Learning · Computer Science & AI
Artificial Intelligence
The newest papers in Artificial Intelligence that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
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 192
Who Speaks, Who Authorizes, Who Acts? Understanding Trust Boundaries in Multi-Agent LLMs
Multi-agent LLM systems exchange messages before acting through tools, but message delivery, signing authority, and tool-side enforcement are separate trust boundaries.CME-SpectrumBench: Can LLMs Analyze Condensed Matter Spectral Data?
Large Language Models (LLMs) are presently well assessed by expert-level mathematics and physics benchmarks which focus on theoretical, symbolic reasoning.Learning Administrative Boundary-Aware Location Encoders via Reverse Geocoding
Location encoders learn compact representations of latitude--longitude coordinates for downstream geospatial prediction tasks.RATION: Towards Quantitative Risk-Based Access Control for AI Agents
AI agents increasingly interact with external environments to complete complex user tasks.Indirect Influences of Artificial Intelligence Advice on Complex Sepsis Treatment Decisions
Sepsis is a major public health concern, and many sepsis patients die due to ineffective hemodynamic management.The Judge Can Debias Itself: Awareness and Self-Debiasing for Reliable LLM-as-a-Judge
LLM-as-a-Judge systems are increasingly employed for automated evaluation, yet remain susceptible to systematic biases that undermine their reliability.Morpheus-2.0: Multiscale Probabilistic Forecasting with Dual-Axis Attention
A universal forecaster is trained once and applied everywhere, so it must serve tasks whose schemas, forecast horizons, and temporal resolutions all differ.Continuous Ontology Assurance through External Resources -- An Ontology Engineering Method with a Case Study in Software Language Engineering
Domain ontologies require review against knowledge recorded in evolving external resources.VERAS: Verification-Guided Adaptive Search for Reliable Operations Research
Advances in reasoning, coding, and tool use enable LLM agents to solve operations research (OR) problems through iterative problem modeling, program construction, and verification.Large language model and reinforcement learning based autonomous construction and progress updates
Due to the rapid growth of the global population, traditional construction methods are gradually unable to meet the current housing demand.MOSS: A Production Framework for Monitoring and Diagnosing Semantic Failures in Search and Recommendation Systems
Detecting semantic failures in production recommendation and search systems is hard: behavioral metrics lag by days, manual review does not scale, and most LLM evaluation frameworks are designed for…Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models
Recent studies have proposed reinforcement learning with verifiable rewards (RLVR) methods that enable LLMs to generate high-quality RTL circuits from natural-language specifications.Who Verifies the Builder? Toward Independent Assurance for Agent-Produced Software
Coding agents can now implement a specification, write and run tests, repair failures, and declare the result ready for release.IRAH: Hierarchical Agentic Tree Search for Retrieval Pipeline Optimization
Optimizing Information Retrieval (IR) pipelines for Retrieval-Augmented Generation (RAG) requires jointly selecting structural components and numerical hyperparameters under limited evaluation…Accelerating Wildfire Hazard Mapping Across Canada with an AI Surrogate Modelling Framework
Canada's increasing wildfire activity requires frequent national hazard mapping to guide proactive mitigation, including fuel management, land-use planning, infrastructure protection, and evacuation…SCARCE: Emergent Institutions in Long-Horizon Multi-Agent Coding Systems
As autonomous agents become widely deployed, coordinating access to shared computing resources and services will become increasingly important.Recursive Reward Improvement via Adversarial Meta-Prompt Evolution
Recursive Self-Improvement (RSI) has gained wide attention for its ability to work with limited data.ReviewPilot: A Multi-Agent System for Screening and Data Extraction in Systematic Reviews
Systematic literature reviews follow the PRISMA process of screening scholarly works and extracting evidence from included studies.Learning When to Withdraw: Curriculum Coverage and Rule-Specific Failures in Fine-Tuned Language Agents
Tool-using language agents must revise prepared actions when evidence changes or authority is revoked.PremiseCheck: Efficient Fact-Checking of Human and AI Peer Reviews
Peer review is under strain from the growth of submissions, and review comments written by humans or AI can misstate what a paper says.