Papers
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Where can AI be used? Insights from a deep ontology of work activitiesFeatured
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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
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SNAP: Speaker Nulling for Artifact Projection in Speech Deepfake Detection
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Neuronal Self-Adaptation Enhances Capacity and Robustness of Representation in Spiking Neural Networks
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Artificial Intelligence in Experimental Approaches: Growth Hacking, Lean Startup, Design Thinking, and Agile
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MFSR: MeanFlow Distillation for One Step Real-World Image Super Resolution
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SWE-Next: Scalable Real-World Software Engineering Tasks for Agents
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Can I guess where you are from? Modeling dialectal morphosyntactic similarities in Brazilian Portuguese
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High-dimensional online learning via asynchronous decomposition: Non-divergent results, dynamic regularization, and beyond
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Satellite-to-Street: Synthesizing Post-Disaster Views from Satellite Imagery via Generative Vision Models
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Clinical Cognition Alignment for Gastrointestinal Diagnosis with Multimodal LLMs
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mmWave-Diffusion:A Novel Framework for Respiration Sensing Using Observation-Anchored Conditional Diffusion Model
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Decoupling Numerical and Structural Parameters: An Empirical Study on Adaptive Genetic Algorithms via Deep Reinforcement Learning for the Large-Scale TSP
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NDT: Non-Differential Transformer and Its Application to Sentiment Analysis
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High-Quality and Efficient Turbulence Mitigation with Events
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RoboECC: Multi-Factor-Aware Edge-Cloud Collaborative Deployment for VLA Models
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The Role and Relationship of Initialization and Densification in 3D Gaussian Splatting
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Cross-modal Fuzzy Alignment Network for Text-Aerial Person Retrieval and A Large-scale Benchmark
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Multi-RF Fusion with Multi-GNN Blending for Molecular Property Prediction
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Premier: Personalized Preference Modulation with Learnable User Embedding in Text-to-Image Generation
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Problems with Chinchilla Approach 2: Systematic Biases in IsoFLOP Parabola Fits
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Weakly supervised multimodal segmentation of acoustic borehole images with depth-aware cross-attention
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Reasoning Topology Matters: Network-of-Thought for Complex Reasoning Tasks
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VSD-MOT: End-to-End Multi-Object Tracking in Low-Quality Video Scenes Guided by Visual Semantic Distillation
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MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages
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SATTC: Structure-Aware Label-Free Test-Time Calibration for Cross-Subject EEG-to-Image Retrieval
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Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding
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CTCal: Rethinking Text-to-Image Diffusion Models via Cross-Timestep Self-Calibration
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Adversarial Attacks on Locally Private Graph Neural Networks
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