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Energy Efficient Software Hardware CoDesign for Machine Learning: From TinyML to Large Language Models
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Estimating Individual Tree Height and Species from UAV Imagery
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Bio-Inspired Event-Based Visual Servoing for Ground Robots
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Grounding Vision and Language to 3D Masks for Long-Horizon Box Rearrangement
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Prototype Fusion: A Training-Free Multi-Layer Approach to OOD Detection
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PLACID: Privacy-preserving Large language models for Acronym Clinical Inference and Disambiguation
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Learning What Can Be Picked: Active Reachability Estimation for Efficient Robotic Fruit Harvesting
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Assessment Design in the AI Era: A Method for Identifying Items Functioning Differentially for Humans and Chatbots
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MoCHA: Denoising Caption Supervision for Motion-Text Retrieval
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The Economics of Builder Saturation in Digital Markets
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AdvSplat: Adversarial Attacks on Feed-Forward Gaussian Splatting Models
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Multi-LLM Query Optimization
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CoRe: Joint Optimization with Contrastive Learning for Medical Image Registration
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Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
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The Diminishing Returns of Early-Exit Decoding in Modern LLMs
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An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System: [Experiments and Analysis]
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Mind the Hitch: Dynamic Calibration and Articulated Perception for Autonomous Trucks
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LLMs Do Not Grade Essays Like Humans
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CDMT-EHR: A Continuous-Time Diffusion Framework for Generating Mixed-Type Time-Series Electronic Health Records
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Dual-Gated Epistemic Time-Dilation: Autonomous Compute Modulation in Asynchronous MARL
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Autoregressive Guidance of Deep Spatially Selective Filters using Bayesian Tracking for Efficient Extraction of Moving Speakers
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Bi-CRCL: Bidirectional Conservative-Radical Complementary Learning with Pre-trained Foundation Models for Class-incremental Medical Image Analysis
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An Adapter-free Fine-tuning Approach for Tuning 3D Foundation Models
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Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems
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BXRL: Behavior-Explainable Reinforcement Learning
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ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence
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Detection and Classification of (Pre)Cancerous Cells in Pap Smears: An Ensemble Strategy for the RIVA Cervical Cytology Challenge
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Kronecker-Structured Nonparametric Spatiotemporal Point Processes
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The Order Is The Message
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Efficient Benchmarking of AI Agents
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IslamicMMLU: A Benchmark for Evaluating LLMs on Islamic Knowledge
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IJmond Industrial Smoke Segmentation Dataset
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Self Paced Gaussian Contextual Reinforcement Learning
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Learning Cross-Joint Attention for Generalizable Video-Based Seizure Detection
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Semantic Iterative Reconstruction: One-Shot Universal Anomaly Detection
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AI-driven Intent-Based Networking Approach for Self-configuration of Next Generation Networks
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Human-in-the-Loop Pareto Optimization: Trade-off Characterization for Assist-as-Needed Training and Performance Evaluation
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Lightweight Fairness for LLM-Based Recommendations via Kernelized Projection and Gated Adapters
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Probabilistic Geometric Alignment via Bayesian Latent Transport for Domain-Adaptive Foundation Models
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DATASHI: A Parallel English-Tashlhiyt Corpus for Orthography Normalization and Low-Resource Language Processing
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Rethinking Visual Privacy: A Compositional Privacy Risk Framework for Severity Assessment with VLMs
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Adaptive Robust Estimator for Multi-Agent Reinforcement Learning
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PRISM: Breaking the O(n) Memory Wall in Long-Context LLM Inference via O(1) Photonic Block Selection
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Mind over Space: Can Multimodal Large Language Models Mentally Navigate?
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MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Ratio Maximization and Establishing the Equivalence between Classifier-Free Guidance and Alignment Objectives
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Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection
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Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
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Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window
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HACMatch Semi-Supervised Rotation Regression with Hardness-Aware Curriculum Pseudo Labeling
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SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models
