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Scalable Classification of Course Information Sheets Using Large Language Models: A Reusable Institutional Method for Academic Quality Assurance
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MR-GNF: Multi-Resolution Graph Neural Forecasting on Ellipsoidal Meshes for Efficient Regional Weather Prediction
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EmDT: Embedding Diffusion Transformer for Tabular Data Generation in Fraud Detection
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Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap
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DiveUp: Learning Feature Upsampling from Diverse Vision Foundation Models
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Analytical Logit Scaling for High-Resolution Sea Ice Topology Retrieval from Weakly Labeled SAR Imagery
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State Algebra for Probabilistic Logic
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LingoMotion: An Interpretable and Unambiguous Symbolic Representation for Human Motion
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Automated Self-Testing as a Quality Gate: Evidence-Driven Release Management for LLM Applications
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An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process
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State-space models through the lens of ensemble control
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Volumetric Radar Echo Motion Estimation Using Physics-Informed Deep Learning: A Case Study Over Slovakia
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Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI through Multi-Modal Representations
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EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
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A Causal Framework for Mitigating Data Shifts in Healthcare
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The Equivalence Theorem: First-Class Relationships for Structurally Complete Database Systems
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Orla: A Library for Serving LLM-Based Multi-Agent Systems
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NCCL EP: Towards a Unified Expert Parallel Communication API for NCCL
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A Grid-Based Framework for E-Scooter Demand Representation and Temporal Input Design for Deep Learning: Evidence from Austin, Texas
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LLM Routing as Reasoning: A MaxSAT View
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Robust Sequential Tracking via Bounded Information Geometry and Non-Parametric Field Actions
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Egocentric World Model for Photorealistic Hand-Object Interaction Synthesis
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Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE
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Design and evaluation of an agentic workflow for crisis-related synthetic tweet datasets
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BERTology of Molecular Property Prediction
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Locatability-Guided Adaptive Reasoning for Image Geo-Localization with Vision-Language Models
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MedArena: Comparing LLMs for Medicine-in-the-Wild Clinician Preferences
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Widespread Gender and Pronoun Bias in Moral Judgments Across LLMs
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SemRep: Generative Code Representation Learning with Code Transformations
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StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
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PLUME: Building a Network-Native Foundation Model for Wireless Traces via Protocol-Aware Tokenization
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Benchmarking Large Language Models on Reference Extraction and Parsing in the Social Sciences and Humanities
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Causal Attribution via Activation Patching
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Privacy Preserving Topic-wise Sentiment Analysis of the Iran Israel USA Conflict Using Federated Transformer Models
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Representation Learning for Spatiotemporal Physical SystemsFlatiron Institute, New York University, Princeton University, Université Paris Cité, University Paris-Saclay
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XSkill: Continual Learning from Experience and Skills in Multimodal Agents
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Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing
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Flowcean - Model Learning for Cyber-Physical Systems
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Neural Thickets: Diverse Task Experts Are Dense Around Pretrained WeightsMassachusetts Institute of Technology
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Temporal Straightening for Latent PlanningBrown University, New York University, University of Toronto
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Copula-ResLogit: A Deep-Copula Framework for Unobserved Confounding EffectsToronto Metropolitan University
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Conversational AI-Enhanced Exploration System to Query Large-Scale Digitised Collections of Natural History MuseumsUniversity of Technology Sydney
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MultiwayPAM: Multiway Partitioning Around Medoids for LLM-as-a-Judge Score Analysis
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Quantum entanglement provides a competitive advantage in adversarial gamesCSIRO Clayton
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Hybrid Self-evolving Structured Memory for GUI Agents
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Simulation-in-the-Reasoning (SiR): A Conceptual Framework for Empirically Grounded AI in Autonomous Transportation
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GaLoRA: Parameter-Efficient Graph-Aware LLMs for Node ClassificationSan Jose State University
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Regime-aware financial volatility forecasting via in-context learningStanford University, University of Toronto
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From Imitation to Intuition: Intrinsic Reasoning for Open-Instance Video Classification
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What do near-optimal learning rate schedules look like?
