AI & Machine Learning · Computer Science & AI
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: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 99
AutoEnergyDesign: An LLM-Driven Agent for Automatic Energy System Design Optimization
Designing building energy systems is a high-dimensional, mixed-integer search problem: when each design is evaluated by a year-long simulation, black-box optimizers typically need hundreds of…Formal Explanations for Linear Temporal Logic over Finite Traces
Linear Temporal Logic over Finite Traces (LTLf) is widely used in Artificial Intelligence to specify desired temporal behavior and determine whether finite traces satisfy or violate it.V$^3$AST-Bench: Verifiable, Valid, and Versatile Safety Evaluation for Coding Agents
Large language models increasingly act through code, modifying repositories, executing programs, and interacting with services in agent form.Trustworthy Recursive Self-Improvement in the Era of Large Models: Foundation, Risks, Evaluation and Open Challenges
AI systems built around large models increasingly use experience and feedback to make persistent changes to models, prompts, memories, tools, and workflows.OrthoRF: Exploring Orthogonality in Object-Centric Representations
Neural synchrony is hypothesized to help the brain organize visual scenes into structured multi-object representations.Same Story, Different Lens: A Multi-Agent System for Cross-Outlet News Framing Analysis
News outlets covering the same event differ in what they emphasize and omit. \textit{Same Story, Different Lens} is an experimental research prototype for comparing these choices.Efficient Exact Unlearning for Federated Zeroth-Order Optimization
Federated zeroth-order optimization (FedZOO) reduces the memory and communication costs of collaborative training for edge intelligence by avoiding backpropagation while communicating only random…One-Shot Federated Model Editing for Device Dynamics at the Edge
Standard federated learning (FL) requires persistent device connectivity across multiple communication rounds, making it unsuitable for dynamic environments such as vehicular networks, where devices…SkillLifeBench: Benchmarking Security Across the Lifecycle of Agent Skills
Web agents reuse skills whose stored code, selected version, and loaded implementation can diverge across tasks and updates.MuSID-KD: Multigranularity Knowledge Distillation for Generative Recommendation with Semantic IDs
Generative recommendation with semantic IDs (SIDs) represents each item as a sequence of discrete tokens and autoregressively predicts the next item's SID.Trainable Boundary-Keeping Where No Formal Answer Exists: A Controlled Knock-In Study of Reward Training in Evidence-Sufficiency Judgment
Reasoning-tuned and reward-trained models are often assumed to verify more reliably because they reason longer or receive correctness signals.Joint Latent Reasoning and Observation for Agentic Video Understanding
Effective video agents must learn not only how to answer, but also where to look next.Context Is Not Free: Carbon-Aware LLM Routing for Multi-Turn LLM Web Services across Geo-Distributed Data Centers
The sustainability of the Web has drawn growing attention, as large language model (LLM)-based web services leave a substantial carbon footprint.Reading Beyond OCR Noise: Robust Cross-Lingual RAG for Legislative Archives
India's historical public archives present severe computer vision and document image analysis challenges: decades of parliamentary records survive only as degraded, multi-column scanned pages…Beyond Vision-Language Models: Visual-Semantic Affect Graphs for Emotion Recognition in Artworks
Emotion recognition in artworks remains challenging because affective meaning is often subjective, implicit, and shaped by relationships between visual form and semantic associations.Before Blaming the LLM, Diagnose the Workflow: A Role-Level Difficulty Profile for Translating Natural Language into Ontology-Grounded Statements
Natural-language-to-domain-specific-language (NL-to-DSL) semantic parsing systems increasingly translate informal user descriptions into structured artifacts such as Structured Query Language (SQL)…Self-Supervised Pretraining for PHM: What Transfers, What Does Not, and What Federating It Costs
Self-supervised pretraining has produced capable time-series foundation models, but its value for Prognostics and Health Management (PHM) has not been measured under leakage-controlled conditions.Satellite Intelligence: Distributed Training, Collaborative Inference,and LLM Adaptation in LEO Constellation
The proliferation of orbital sensing data and the real-time demands of emerging global services are pushing low Earth orbit (LEO) satellite networks from bent-pipe relays toward intelligent onboard…Proof-of-Agentness: Towards Verifying Agents on the Web
CAPTCHAs and bot detection have helped protect Web services from automated abuse for decades by distinguishing humans from bots.Reward-Guided RRT* for Budgeted Task and Motion Planning
Robotic missions involving spatially distributed tasks often require jointly selecting rewarding locations and planning feasible motions under limited travel budgets.