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Where can AI be used? Insights from a deep ontology of work activitiesFeatured
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ARYA: A Physics-Constrained Composable & Deterministic World Model Architecture
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RoboAlign: Learning Test-Time Reasoning for Language-Action Alignment in Vision-Language-Action Models
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Generalized Discrete Diffusion from Snapshots
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The AI Scientific Community: Agentic Virtual Lab Swarms
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Efficient Coarse-to-Fine Diffusion Models with Time Step Sequence Redistribution
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Respiratory Status Detection with Video Transformers
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Beyond Memorization: Distinguishing between Reductive and Epistemic Reasoning in LLMs using Classic Logic Puzzles
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The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project
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FluidGaussian: Propagating Simulation-Based Uncertainty Toward Functionally-Intelligent 3D Reconstruction
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AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling
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Benchmarking Bengali Dialectal Bias: A Multi-Stage Framework Integrating RAG-Based Translation and Human-Augmented RLAIF
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AdaRubric: Task-Adaptive Rubrics for LLM Agent Evaluation
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TIDE: Token-Informed Depth Execution for Per-Token Early Exit in LLM Inference
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Relax Forcing: Relaxed KV-Memory for Consistent Long Video Generation
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Conspiracy Frame: a Semiotically-Driven Approach for Conspiracy Theories Detection
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PLR: Plackett-Luce for Reordering In-Context Learning Examples
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Constrained Online Convex Optimization with Memory and Predictions
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A transformer architecture alteration to incentivise externalised reasoning
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HamVision: Hamiltonian Dynamics as Inductive Bias for Medical Image Analysis
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An InSAR Phase Unwrapping Framework for Large-scale and Complex Events
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PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost
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Mitigating Objectness Bias and Region-to-Text Misalignment for Open-Vocabulary Panoptic Segmentation
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Knowledge Priors for Identity-Disentangled Open-Set Privacy-Preserving Video FER
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Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models
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A Generalised Exponentiated Gradient Approach to Enhance Fairness in Binary and Multi-class Classification Tasks
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Mechanisms of Introspective Awareness
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STEM Agent: A Self-Adapting, Tool-Enabled, Extensible Architecture for Multi-Protocol AI Agent Systems
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Persona Vectors in Games: Measuring and Steering Strategies via Activation Vectors
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The Myhill-Nerode Theorem for Bounded Interaction: Canonical Abstractions via Agent-Bounded Indistinguishability
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Multi-Perspective LLM Annotations for Valid Analyses in Subjective Tasks
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Fingerprinting Deep Neural Networks for Ownership Protection: An Analytical Approach
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Silent Commitment Failure in Instruction-Tuned Language Models: Evidence of Governability Divergence Across Architectures
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Efficient Fine-Tuning Methods for Portuguese Question Answering: A Comparative Study of PEFT on BERTimbau and Exploratory Evaluation of Generative LLMs
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Is the future of AI green? What can innovation diffusion models say about generative AI's environmental impact?
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HyReach: Vision-Guided Hybrid Manipulator Reaching in Unseen Cluttered Environments
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Uncertainty-Aware Knowledge Distillation for Multimodal Large Language Models
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DomAgent: Leveraging Knowledge Graphs and Case-Based Reasoning for Domain-Specific Code Generation
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Image-Based Structural Analysis Using Computer Vision and LLMs: PhotoBeamSolver
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Behavioural feasible set: Value alignment constraints on AI decision support
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PAS3R: Pose-Adaptive Streaming 3D Reconstruction for Long Video Sequences
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Semantic Shift: the Fundamental Challenge in Text Embedding and Retrieval
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PROMPT2BOX: Uncovering Entailment Structure among LLM Prompts
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LLM-Powered Workflow Optimization for Multidisciplinary Software Development: An Automotive Industry Case Study
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KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning
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Safety as Computation: Certified Answer Reuse via Capability Closure in Task-Oriented Dialogue
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The AI Layoff Trap
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Hierarchical Multiscale Structure-Function Coupling for Brain Connectome Integration
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IBCapsNet: Information Bottleneck Capsule Network for Noise-Robust Representation Learning
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Centrality-Based Pruning for Efficient Echo State Networks
