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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: 4,993 arXiv preprints and 7 OpenAlex records.
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Newest papers, page 8
Hybrid Machine Learning for Imbalanced Landing-Phase Safety Event Prediction from Flight Data
Landing-phase safety-event prediction requires the detection of rare abnormal approaches within strongly imbalanced multivariate flight data.Learning a patient world model for health system simulation in intensive care
Designing healthcare strategies requires anticipating their clinical and operational consequences before implementation, a task that often relies on health system simulation.StepBack: Step-Level Error-Localized Resampling for Efficient Test-Time Reasoning
Self-consistency (SC) is a widely used decoding strategy for improving chain-of-thought reasoning, but it requires sampling many complete reasoning trajectories with a preset budget.The Gold Rush in AI4Math, II: What are signatures of AI-assisted Proofs?
The growing use of AI in mathematics raises a question: can we detect AI involvement in proofs, separately from AI assistance with writing?Benchmarks as Software: Terminal-Bench and the Case for Continuous Benchmarks
Coding agents are among the most economically consequential deployments of LLMs to date, making reliable evaluation increasingly important.Failure Prediction and Classification in Vision-Language-Action Models Via Calibrated Latent Probing
Vision-Language-Action models (VLAs) enable general-purpose embodied intelligence, but their performance is brittle under distribution shift, where unanticipated failures can damage equipment or…The Power of Meta Access in the Software of the Future --- Demonstrated on LLM Chat UIs and Chat AI
Chat remains the default surface for many large language model (LLM) tasks, even as agentic tools such as OpenCode excel at coding and automation.MedGraph: Maintaining Patient State with Graph Memory for Long-Term Medical Dialogue
LLM-based medical assistants that follow a patient across visits need a memory that keeps the patient's clinical state correct as it changes.Understanding AI from the Inside: The State of Mechanistic Interpretability for AI Safety
Neural networks are likely to be among the most consequential artefacts in human history.Label-Wording Augmentation in a Typed-Decision Encoder: Gains on Unfamiliar Words, Not on Abbreviations or Codes
Typed-decision models score options that the caller supplies at request time, so their accuracy depends on label wording that the model's developer does not control.ReproBridge: Building Reproducibility into ML Research Artifacts
Reproducing machine learning experiments requires reconstructing procedures from information scattered across papers, released code, and supporting artifacts.Towards interpreting any residual stream direction by scaling activation inversion
To interpret a direction in a language model's residual stream, we can look for text that strongly activates it.Same Behavior, Different Mechanism: What Finite Experiments Can Certify About Integrated Information
Interpretability, AI auditing and assessments of machine consciousness increasingly rest on mechanism-level quantities: functionals of a system's causal transition law that describe how it computes…XStack: A Benchmark for ML Repo Migration
ML code should run where researchers choose, not where it was first written.Scientist World: Grow a Research World for AI-Scientists
AI-Scientists arrived, but a world for them to grow in did not.SwarmEvolve: Latent Agent Swarms for Evolutionary Discovery and Optimization
LLM-guided evolutionary search uses AI agents to improve programs for mathematical and computational problems by iteratively refining solutions and combining high-scoring methods.BobFlow: Towards Human-Agent Collaborative Data Science Using Dataflows
Recent advances in large language models (LLMs) have established human-agent collaboration as a promising paradigm for data science.How Well Can Large Language Models Impersonate Individual Authors? A Comparative Evaluation
This study investigates the authorship impersonation capacity of six widely used large language models (LLMs): Gemini 3 Pro, Claude Opus, GPT 5.2, GPT 5.2 Pro, DeepSeek 3.2, and Grok 4.1 Fast.Unsupervised Neural Operators for Rotating Relativistic Stars: High-Fidelity Equation of State Inference and Pulsar Spin Evolution at Scale
Observed populations of rotating neutron stars~(NSs) with millisecond-order periods are powerful probes of fundamental physics.FlyHash for LLM Agent Memory: An Empirical Validation and a New Application
Large language model (LLM) agents increasingly rely on external memory stores to retain information across conversations, typically via dense vector embeddings searched with approximate…