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 98
Multiscale Policy Optimization for Long-Horizon LLM Agents
Long-horizon LLM agents interact with their environments through complete assistant turns while generating each action token by token.From Single Spins to Ensembles: A Calibrated Symbolic Regression Pipeline for NV Spectroscopy
Characterizing nitrogen-vacancy (NV) ensembles requires connecting their collective spectra to individual centers that experience different local environments.PatentAgentBench: Benchmarking LLM Agents with Professional Patent Task Suites
Patent practice lies at the intersection of technical, legal, and linguistic work, making it challenging yet crucial to technological innovation.AutoPRL: Automated Path Representation Learning via a Learnable View Generator
Self-supervised learning has emerged as a powerful paradigm for Path Representation Learning (PRL) in road networks.CA-HNM: Constraint-Aware Hard Negative Mining for Dense Retrieval with Structured Domain Models
Dense retrievers are commonly trained with hard negatives selected from lexical or dense retrieval results.Beyond Single-Attribute Auditing: A Configurable Multi-Attribute Benchmark for Intersectional Fairness in LLMs
Large language models (LLMs) are increasingly evaluated for fairness, yet most existing benchmarks audit one sensitive attribute at a time.Joint Dynamic Lane Reversal and Variable Speed Limit Control: A Graphormer-Based Approach
Connected and automated vehicles could allow reassigning lane directions and speed limits on every road frequently, but the benefit hinges on how traffic reroutes, and one-way roads can isolate…A Diagnostic Protocol for GNNs in Electricity Load Forecasting: Separating Parameter Sharing from Neighborhood Access
A graph neural network (GNN) forecasting a collection of load series combines two mechanisms, sharing parameters across series and reading neighboring series, and a gain over a non-graph model may…Toward Fast Human Reaction Modeling from High-Frequency Digital Interaction Data
We investigate whether limbic-like signatures of rapid, salience-driven behavior can be identified in high-resolution Counter-Strike 2 telemetry.Zero-Shot Multi-Class Wafer Map Classification with Rule-Ordered Prompts for Large Multimodal Models
Wafer-map defect classification often requires labeled data and retraining when production conditions change.CoSA: The Conflict of Skills Attack in Real-World LLM Agent Ecosystems
Agent Skills allow LLM agents to combine reusable capabilities, but checking each Skill in isolation cannot rule out policy violations when they are composed.Improving Instruction Hierarchy by Learning from Goal-Goal Conflicts
The recent incident in which OpenAI agents autonomously compromised Hugging Face's infrastructure illustrates the importance of instruction hierarchy (IH): an LLM should follow lower-priority…Subspace Crystallization in Grokking: Rank Compression Tracks the Phase Transition
Grokking describes understanding something deeply and intuitively.UTA: Universal Training Adaptive Learning Rate Decay
Learning rate decay (LRD) is critical for training high-performance models, yet most designs remain empirically driven.Generative AI in Turbulence: Foundations, Applications, Validations and Benchmarks
Generative AI offers new approaches to turbulence problems in which incomplete observations or unresolved d.o.f. admit multiple physically plausible solutions.When Fusion Order Matters: Insights on Progressive Multimodal Representation Learning for Cross-modal Retrieval
Multimodal video retrieval combines visual, acoustic, and speech information, yet how their fusion order should depend on the data and the retrieval query remains unclear.Co-Design Bench: Multimodal Collaborative Coding Evaluation for Agentic Models
Evaluating human-AI co-design requires testing whether coding agents can translate real users' multimodal requests into working application revisions.Locked In: Multi-Objective RL for the AI Data Center Build-Out
AI data center build-out is a multi-trillion-dollar, multi-decade infrastructure program.LongSearchEval: Evaluating Long-Horizon Web Search Capabilities of Large Language Models via a Trajectory-Aware Agent Framework with Failure-Node Localization
Long-horizon web search requires LLM-based agents to integrate information across web pages through extended interactions under task-specific constraints.SoK: Timestamps Are Not a Time Model: Rethinking Temporal Reasoning in Host-Based Intrusion Detection
Host-based intrusion detectors order events, window audit streams and sequence attack stages by their timestamps.