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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 73
Luggage re-identification: A study of strategies towards a real-world application
Luggage re-identification (ReID) is a critical task in video surveillance for forensics, security or border management (suspicious or abandoned luggage recognition), as well as luggage management…Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers
Pixel-space generative Transformers typically use one token per image patch, so capturing finer detail requires more tokens and makes global attention increasingly expensive.Rethinking Neural Thickets Without Weight Perturbations
The Neural Thickets hypothesis posits that pretrained language models lie in dense neighborhoods of task-specific experts in weight space, which random Gaussian perturbations can uncover.PrivacyFlow: Privacy in AI Agents through Information Flow Analysis and Consequence-Aware Risk Management
Autonomous LLM agents executing multi-step workflows over personal data often misalign with user privacy expectations and leak sensitive, out-of-context information.Characterizing LLM Agent Behaviors in Module Shadowing Environments
LLM agents operating in untrusted workspaces face the risk of untrusted code execution during routine tasks, yet final reports and workspace states alone cannot reliably establish whether execution…MetaVul: Agentic Harness Discovery for Vulnerability Detection
LLM agents are increasingly used to automate vulnerability detection, but reliable detection is challenging because agents must distinguish subtle, security-relevant fixes from benign code variation.Bayesian Distribution System State Estimation with Flow Matching
Medium-voltage feeders have few real-time measurements, so distribution system state estimation (DSSE) rests on pseudo-measurements of the secondary substations, a prior in Bayesian terms.RiskyPy: Toward Model-Calibrated Prompt Generation for Joint Security and Functionality Evaluation of LLM-Generated Code
Evaluating approaches that improve the security of LLM code generation requires datasets that jointly assess security and functionality and remain adapted to the capabilities of the models being…CLIC: Closed-Loop Intent Consistency for Securing LLM-Driven Control in Open RAN
With the progressive capabilities of large language models (LLMs), researchers are finding ways to integrate them into the control loops of Open Radio Access Network (O-RAN) to enable slicing and…Safin-1.5: Safety-Native Architecture and Verifiable Reasoning for Recursive Safety Improvement
Recursive self-improvement (RSI) enables large language models to advance their capabilities through successive updates, but these updates can also introduce new risks and weaken existing safeguards."Shall We Approve?" Consequence-Aware Approval for Autonomous Coding Agents
Coding agents increasingly rely on automated approvers to decide whether a proposed shell command may run.AutoHebb: Self-Modifying Neural Networks that Zero-Shot Infer and Continually Learn
Humans and animals have a unique capacity to generalize and learn in novel circumstances, including "0-shot" inference (ZI) and continual learning (CL) -- two powerful cognitive abilities.More Rules, Longer Lists? Benchmarking Self-Evolving Agents on a Hidden-Rule Curriculum
Self-evolving agents rewrite a persistent state from feedback, but it is largely untested whether this lets them learn a rule nobody told them.TAPE: Learning General Audio Effect Representations
Musicians and mixing engineers often can decipher the signal processing chain they hear on a reference recording, then adapt it to new material.Beyond Plausible Prediction: Safety Sufficiency in Web World Models
Web world models increasingly predict the consequences of candidate actions before agents act, yet a plausible predicted future does not necessarily support the correct safety decision.From Teleoperation to Long-Horizon Dexterity: Evaluating Visuomotor Skills and Offline Proxies for Dexterous Manipulation
Imitation learning policies are intended to make robotic manipulation robust to variations in object pose, appearance, and environment that challenge pre-programmed motion.Circumventing the Computational Hardness of Computational Arbitrage
AI model marketplaces host providers with heterogeneous costs and capabilities.The Generative Gap Between Speculative Drafter and Continuous Diffusion Language Model
Continuous diffusion language models (CDLMs) and speculative drafters offer efficient language generation but are typically evaluated differently: CDLMs generate independently through iterative…GraphTFactor: A graph-based approach for proteins transcription factor prediction
Transcription factors (TFs) play an important role in regulating gene expression, making their identification a fundamental task in computational biology.Incongruence-Aware Evaluation of Multimodal Speech Emotion Recognition in Audio Large Language Models
Voice-interactive large language models process both what a speaker says and how they say it, yet the two channels do not always agree.