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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 108
Single-Cycle Battery Remaining Useful Life Prediction with Compressed Continuous Wavelet Features and Deep Neural Networks
Lithium-ion batteries are widely used in industrial applications, but their performance gradually degrades over time, making accurate lifetime prediction important for safety and reliability.Task Success Is Not Enough: Side-effect-Aware Evaluation of Tool-Using Language Model Agents
Tool-using language model agents are usually evaluated by whether they finish the user's task.Write What Matters: Disentangling Token Selection from Slot Allocation in Recurrent Memory
Long-sequence models must retain earlier information.Entropic Control for Homeostatic Optimization: Pre-empting Catastrophic Forgetting via Dynamic Feedback
Supervised Fine-Tuning (SFT) of LLMs suffers from catastrophic forgetting, and prevailing mitigation strategies struggle to reconcile the plasticity-stability dilemma.R2A-Sales: A Policy-Atom-Matched Benchmark for Rule-to-Action Gaps in Goal-Directed Sales Agents
LLM-based sales agents are often evaluated on static policy questions or task success, but deployment asks a sharper question: when a model can state a rule, will it choose compliant, tool-grounded…SRA: Selective Residual Adaptation for LLM Reasoning Enhancement
Knowledge distillation transfers reasoning capabilities from large language models to lightweight students.MatOS: An Agent Operating System for Materials Research
Materials research relies on scattered and growing data, knowledge, and simulation tools, and a single study often spans multi-day workflows across literature analysis, computation, and experiment.CORMA: Constraint-Routed Decision Mamba for Generalizable Multi-Constraint Offline Safe Reinforcement Learning
Offline safe reinforcement learning (RL) learns safety-aware policies from static datasets while satisfying safety constraints during deployment.StaX-Net: Stackelberg Interleaved Asymmetric Network for Cross-Modality Medical Image Translation
Cross-modality medical image translation is challenged by anatomically inconsistent synthesis that can compromise clinical diagnosis.$Δτ$-Bench: Pushing Agents Toward a Moving Capability
In this paper, we introduce $Δτ$-Bench, an executable agent benchmark that models the structural evolution of large tool ecosystems.Variational Cognitive Memory Abstraction for Long-Horizon Vision-Language-Action Models
Vision-Language-Action (VLA) models have shown remarkable success in robotic manipulation, yet their ability to execute long-horizon tasks remains limited by insufficient long- term memory modeling.NameTrap: Steering AI Coding Agents Toward Security Vulnerabilities via Variable Names
AI coding agents routinely clone repositories, install packages, and read source code obtained from the Web, so publicly hosted code becomes part of the context that shapes the code they write.Recovering Business Rules as Cascade Lookups for Enterprise Field Prediction
Enterprise sales-order systems rely on manually maintained configuration rules to determine fields such as payment terms, shipping points, and sales ownership.MultiEvoSkill: Structure-Aware Multi-Agent Skill Evolution for Generalizable Skill Artifacts
Skill documents are becoming the default adaptation surface for frozen large language model (LLM) agents, but current skill generators face two key limitations.DoubleFree:Exploiting Exploration History for Rollout-Free Multi-Task LLMs Training
Multi-task post-training can develop domain specialists through independent reinforcement learning (RL) and consolidate their capabilities through multi-teacher on-policy distillation (MOPD).Repairing Broken Access Control in Web Applications with LLMs: An Empirical Benchmark Study
Broken access control (BAC) ranks among the most severe web-application vulnerability classes, yet its automated repair remains largely unexplored.Automated, auditable dating of the Babylonian Astronomical Diaries with language models and astronomical tools
The Babylonian Astronomical Diaries record the sky over nearly six centuries.Matched Capabilities, Different Behaviors: A Controlled Study of MCP and CLI Interfaces for Language Agents
Language agents increasingly act through external tools and interactive environments, making the interface between the model and its executable capabilities part of the decision process.Developer Task Delegation to LLMs and the Trust Factor: A Mixed Methods Study
With the rise of Large Language Models (LLMs), software developers are presented with a powerful new approach: delegating software development tasks to LLMs.SHIFT-JEV: Certified Abstention and Gain-Gated Continual Adaptation for LLM-Based Decision Models under Distribution Shift
Large language models (LLMs) can act as decision models that return a probability distribution over a fixed set of options, but deployed decision models face domain, label-prior, emerging-class and…