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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 137
AI-Based End-to-End Automotive Design and Software Development for SDVs
This paper explores the potential of Artificial Intelligence (AI) to enable end-to-end automotive design and software development for Software-Defined Vehicles (SDVs).Why is AI-generated language so hard to understand?
There is a widespread sense that AI-generated text has recently become harder to understand.TeachBack: Learning to Teach via Bidirectional Preference Optimization for On-Policy Self-Distillation
On-policy self-distillation (OPSD) enables a language model to learn from a Teacher instantiated from the same model but given access to privileged information, such as a reference solution.How Representational Priors Shape Generalization in World Action Models
World action models (WAMs) are shown to substantially diverge under generalization performance based on their generative backbones.TrainBridge: Agentic NPU Training Optimization Guided by GPU Compilation Evidence
We study how to improve training efficiency on Ascend NPUs.Conditional Flow Models Convert Epistemic Uncertainty into Apparent Aleatoric Variance
Conditional Flow Models (CFMs) are increasingly being used in place of deterministic predictors across machine learning, including for tasks that were classically formulated as regression.Correlated Failures of AI Approval Monitors
Before an AI agent takes a consequential action, such as paying, messaging or changing code, several monitors check it.Resuming Vision-Language Inference across Onboard Interruptions
Executing vision-language models (VLMs) aboard low-Earth orbit satellites enables flexible processing of observation data without first downlinking it to the ground.LTEM: LLM-Friendly Table-Enhanced Markdown for Table Understanding and Generation
Tables in real-world documents, including scientific papers, financial reports, and statistical summaries, frequently use merged cells, multi-level headers, and sectioned layouts.Huayu-Global: Skillful real-time quasi-global precipitation retrieval
Satellite precipitation products face a persistent trade-off: real-time estimates are timely but less accurate, whereas the most reliable products are often released months after observation.When Multiple Choices Are Correct: Asymmetric Probability Allocation in Jev and Other Decision Models
Decision models return normalized probability distributions over candidate choices, which downstream applications can use to select among choices.Beyond Binary Labels: Diagnostic Evaluation of LLM Safety with Prompt-Level Rubrics
Current LLM safety benchmarks predominantly rely on binary safe or unsafe labels, lacking explanatory depth and suffering from low consistency across automated judges.From Scores to Safe Sets: Exact Safety--Constrained Decoding for Medication Recommendation
Recent generative medication recommendation systems ultimately produce sets of drugs, but drug--drug interaction (DDI) constraints depend on the set as a whole.CrashGym: Measuring the Decision Value of Experimentation for LLM Agents in Counterfactual Market Crashes
Language-model agents are increasingly asked to run experiments, yet benchmarks rarely measure whether those experiments improve the decisions they are meant to inform.MOSAIC: An Omni-Modal Benchmark for Long-Term Memory and Cross-Modal Reasoning in Conversational Agents
Omni-modal assistants must remember not only what users say, but also what they show and convey.Hierarchical Masked Diffusion Language Models
Masked diffusion language models have emerged as an alternative to autoregressive models, enabling parallel token generation.CRAB: Cuboid-based Representation for As-built BIM from Point Clouds
As-built BIM reconstruction from point clouds demands semantic, volumetric, parametric, and editable building components, beyond 2D layouts or planar abstractions.ARCANA: A Benchmark for Abstraction and Analogical Reasoning
Analogical reasoning is widely considered a fundamental component of human intelligence.Flat-RLVR: Sharpness-Aware Reinforcement Learning with Verifiable Rewards for Reasoning Capacity in LLMs
Reinforcement learning with verifiable rewards (RLVR), particularly through group-relative policy optimization (GRPO), has emerged as a central paradigm for the post-training of large language…Same Probabilities, Different Advice: Gain-Loss Framing Effects in High-Stakes LLM Decision Support
Large language models (LLMs) are increasingly used to support consequential decisions, yet their reliability under equivalent representations of uncertainty remains unclear.