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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 90
How Reliable Is Individualized Functional-Network Attribution in Resting-State fMRI Cognitive Prediction in ADNI?
Individualized attribution estimates which functional networks drive a model prediction for a given subject and is often proposed as an interpretable resting-state fMRI (rs-fMRI) biomarker, but its…HGPRGDel: GPR-Aware Learning and Ranking for Growth-Coupled Gene Deletion Design
Designing microbial strains for growth-coupled production, in which cellular growth is linked to the synthesis of a target compound through genetic interventions, is a fundamental goal in metabolic…Follow the Gradient: Tracing Safety Degradation Back to Training Data
Fine-tuning Large Language Models (LLMs) on instruction data can quietly erode their safety, even when no training example looks harmful.From Interaction to Capability: Task Advancement as State and Supervision for GUI Agents
GUI memory should preserve the results of past actions and learn reusable operations.Strategyproof Deep Reinforcement Learning for Online Resource Allocation
Online resource allocation faces two coupled challenges: (1) allocating scarce resources efficiently under uncertain future demand, and (2) ensuring that agents report task valuations and…Orthogonal and Parametrized Multi-Attribute Steering of LLMs
Activation steering offers an effective and efficient way to modify an LLM's behavior at inference time.The Structure Gap: When More Data Cannot Replace Structured Reasoning
A persistent belief in modern AI is that sufficiently large learners trained on sufficiently much data can make explicit domain knowledge optional.Which Hand Was Late? Diagnosis for Robot Failure Recovery in Bimanual Tool Use
Failure diagnosers for robot manipulation are increasingly vision--language models (VLMs), trained and evaluated on single-arm failures produced by perturbing a successful demonstration.GroundControl: Satellite-Conditioned Multi-View Diffusion for Reconstruction-Free Novel View Synthesis
Multi-view or video diffusion models have recently emerged as state-of-the-art approaches for novel-view synthesis from sparse image collections.When, Where, and What to Correct: Human-Guided Adaptive Residual Correction for Robot Policies
Imitation policies that reliably execute most of a manipulation trajectory can still fail in localized regions requiring last-mile precision.Kinematic Constraint-Referenced Evaluation for Articulated Object Manipulation
Manipulation policies are evaluated predominantly by binary task success, which cannot tell whether the commanded gesture is the one the object's kinematics admit.When uncertainty quantification fails: structural vulnerabilities and corrections for selective prediction under clinical class imbalance
Selective prediction systems improve the safety of clinical artificial intelligence by deferring ambiguous cases to human experts while automating high-confidence decisions.Gym-Anything-RT: Scaling Real-Time Environments for Vision-Language Agents
AI agents have made substantial progress in domains where they have a non-trivial amount of time to deliberate between actions, such as mathematics, software engineering, and performing tasks on…TeamGym: A Gym for Team Decision-Making by AI Agents with Distributed Information
Many real-world decisions require teams to integrate information distributed across participants.REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation
Personalized recommendation depends on learning semantic and collaborative relations among items from online content and user interactions.Timestral
We introduce Timestral, a family of four time series foundation models for probabilistic forecasting, with 5M, 28M, 123M, and 209M parameters.Understanding the limits of latent world models
World models are widely proposed as core components for enabling agents to reason over long temporal and spatial horizons.GAS-PFN: Graph-Aware Spatiotemporal Prior-Data Fitted Networks for Zero-Shot Traffic Forecasting
Traffic forecasting requires modeling complex temporal dynamics and the spatial dependencies imposed by road topology.MoI-Bench: A Benchmark for Image Generation and Editing on Mobile Devices
Developing on-device image models requires considering practical user needs, task types and device resource constraints.Beyond Answer Changes: Matched Same-Class Controls for Local Audio Evidence
For audio-language models, an answer change after a local sound-event edit can reflect a response to the event's class, sensitivity to waveform rewriting, or both.