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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 158
DiffResearch: Accelerating Deep Research with Diffusion Language Models
Deep research systems iteratively plan, gather evidence, synthesize, and revise, making end-to-end latency a key bottleneck for interactive use.Simply Logical -- The First Three Decades
This paper charts the evolution of the Prolog textbook Simply Logical -- Intelligent Reasoning by Example from print with runnable programmes on a 3.5-inch diskette published in 1994, via various…D-Skill: Distilling Teacher Knowledge through Agent Skills
Frontier language-model agents excel at complex tasks, but high inference costs make transferring their capabilities to smaller models essential.Back Up Before You Regret: Measuring Backup Awareness and Automating Backup in Coding Agents
Coding agents now complete tasks autonomously, modifying real-world state such as artifacts, software environments, and configurations along the way.StyleStream 2.0: Fast and Controllable Streaming Voice Style Conversion
Voice style conversion (VSC) aims to transform a source utterance to match the timbre, accent, and emotion of a target voice while preserving linguistic content.Self-Improving Agents with World Model Predictive Paths
Large language model (LLM) agents are increasingly expected to interact with environments and improve their decisions during deployment.HyperDrone: Simulation-to-Reality Transfer at Millions of Frames per Second
We present HyperDrone, an extremely fast quadrotor simulator focused on high-performance batch rendering that is more than 20x faster than existing state-of-the-art batch quadrotor simulators.SLoSa: Small, Low-Power, and Safe Foundation Models for Robotic Task Planning
Safe robotic task planning requires planners that can reliably achieve task goals while satisfying safety constraints.Can Quantum Layers offer Performance and Security Advantages in Vision-Language Models?
As quantum computing moves from the noisy intermediate-scale quantum (NISQ) era toward early fault-tolerant quantum computing (EFTQC), quantum-enhanced AI is shifting from a conceptual idea to…Black-Box Red-Teaming of Multi-Agent Systems via Reinforcement Learning
Large language model (LLM) agents are increasingly deployed in multi-agent systems (MAS) to accomplish complex tasks.Unit-Aware Differentially Private Quantum Machine Learning for Clinical and Wearable Health Data
Clinical registries and wearable sensors support early health-risk assessment, yet models trained on these records may leak sensitive information when released.From Weather to Enhanced Weathering: Weather Foundation Models for Carbon Dioxide Removal at Operational Scale
Enhanced Rock Weathering (ERW) is a carbon removal solution with the potential to remove gigatons of CO$_2$ per year, but quantifying that removal today requires dense soil sampling and laboratory…SSMCGM-Stream: A Streaming State-Space Model for Personalized Diabetes Management
Continuous glucose monitoring supports diabetes management but requires forecasting models that are accurate, interpretable, and efficient enough for real-time deployment.Behavior Beyond Text: Evaluating Refusal Transfer Failure in LLM Agents
While large language models are increasingly deployed as tool-calling agents, their safety evaluations still focus primarily on their ability to refuse harmful requests in text.PerMIT: Securing Persistent Memory for LLM Agents via Machine-Checked Integrity Theorems and Scalable Community Trust
Persistent memory is a largely undefended surface for injection and poisoning, and the same risk limits memory sharing among agents.AgentPolicyForge: From Executable Environments to Policy Benchmarks and Adaptive Guards
Customized agent deployments define policies over tools, resources, and execution conditions.Rethinking Time Series Tokenization from a Frequency Perspective
Tokenization that partitions time series into subsequences has become a foundational paradigm in modern time series modeling.Self-Evolving Static Analysis via LLM Pseudo-Labeling
Security bugs often slip past static analysis not because they are impossible to detect, but because detection rules have not yet been written for the code in front of us.Agentic Verified Optimization of Real-World Software
Program optimization aims to improve performance while preserving behavior.ProtoEEG: Structured Prototype Alignment for EEG Visual Decoding
EEG visual decoding remains difficult because scalp recordings are noisy, spatially coarse, and variable across trials and subjects.