UMKC Announces New Master of Science in Artificial Intelligence
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
ML algorithms, training, and inference
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
Hello, 20 years old here just got into the Ai platform and launched this last two weeks and here is what I have on it so far. - Latest Ai...
Abstract page for arXiv paper 2603.12365: Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws
Abstract page for arXiv paper 2604.04211: LOCARD: An Agentic Framework for Blockchain Forensics
Abstract page for arXiv paper 2604.04172: GENFIG1: Visual Summaries of Scholarly Work as a Challenge for Vision-Language Models
Abstract page for arXiv paper 2604.04144: Many Preferences, Few Policies: Towards Scalable Language Model Personalization
Abstract page for arXiv paper 2604.04133: Learning Robust Visual Features in Computed Tomography Enables Efficient Transfer Learning for ...
Abstract page for arXiv paper 2604.04089: From Paper to Program: A Multi-Stage LLM-Assisted Workflow for Accelerating Quantum Many-Body A...
Abstract page for arXiv paper 2604.04064: Extracting and Steering Emotion Representations in Small Language Models: A Methodological Comp...
Abstract page for arXiv paper 2604.04078: BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of ca...
Abstract page for arXiv paper 2604.04060: CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks
Abstract page for arXiv paper 2604.03980: Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics
Abstract page for arXiv paper 2604.03968: TraceGuard: Structured Multi-Dimensional Monitoring as a Collusion-Resistant Control Protocol
Abstract page for arXiv paper 2604.03956: VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models
Abstract page for arXiv paper 2604.03925: AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference
Abstract page for arXiv paper 2604.03904: I-CALM: Incentivizing Confidence-Aware Abstention for LLM Hallucination Mitigation
Abstract page for arXiv paper 2604.03881: Enhancing behavioral nudges with large language model-based iterative personalization: A field ...
Abstract page for arXiv paper 2604.03814: InCaRPose: In-Cabin Relative Camera Pose Estimation Model and Dataset
Abstract page for arXiv paper 2604.03774: When Does Multimodal AI Help? Diagnostic Complementarity of Vision-Language Models and CNNs for...
Abstract page for arXiv paper 2604.03755: Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News
Abstract page for arXiv paper 2604.03758: AutoReSpec: A Framework for Generating Specification using Large Language Models
Abstract page for arXiv paper 2604.03754: Testing the Limits of Truth Directions in LLMs
Abstract page for arXiv paper 2604.03750: CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering
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