Machine Learning

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...

Improving AI models’ ability to explain their predictions

[P] SpeakFlow - AI Dialogue Practice Coach with GLM 5.1

Built SpeakFlow for the Z.AI Builder Series hackathon. AI dialogue practice coach that evaluates your spoken responses in real-time. Two ...

[2603.22623] To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models

Abstract page for arXiv paper 2603.22623: To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models

[2603.22644] Overfitting and Generalizing with (PAC) Bayesian Prediction in Noisy Binary Classification

Abstract page for arXiv paper 2603.22644: Overfitting and Generalizing with (PAC) Bayesian Prediction in Noisy Binary Classification

[2603.22563] Privacy-Preserving Reinforcement Learning from Human Feedback via Decoupled Reward Modeling

Abstract page for arXiv paper 2603.22563: Privacy-Preserving Reinforcement Learning from Human Feedback via Decoupled Reward Modeling

[2603.22593] Language Models Can Explain Visual Features via Steering

Abstract page for arXiv paper 2603.22593: Language Models Can Explain Visual Features via Steering

[2603.22472] Wake Up to the Past: Using Memory to Model Fluid Wake Effects on Robots

Abstract page for arXiv paper 2603.22472: Wake Up to the Past: Using Memory to Model Fluid Wake Effects on Robots

[2603.22582] Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?

Abstract page for arXiv paper 2603.22582: Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?

[2603.22577] STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF Solving

Abstract page for arXiv paper 2603.22577: STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF Solving

[2603.22468] SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation

Abstract page for arXiv paper 2603.22468: SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation

[2603.22528] GraphRAG for Engineering Diagrams: ChatP&ID Enables LLM Interaction with P&IDs

Abstract page for arXiv paper 2603.22528: GraphRAG for Engineering Diagrams: ChatP&ID Enables LLM Interaction with P&IDs

[2603.22437] mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption

Abstract page for arXiv paper 2603.22437: mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption

[2603.22519] LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface

Abstract page for arXiv paper 2603.22519: LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface

[2603.22518] High Resolution Flood Extent Detection Using Deep Learning with Random Forest Derived Training Labels

Abstract page for arXiv paper 2603.22518: High Resolution Flood Extent Detection Using Deep Learning with Random Forest Derived Training ...

[2603.22401] Probabilistic modeling over permutations using quantum computers

Abstract page for arXiv paper 2603.22401: Probabilistic modeling over permutations using quantum computers

[2603.22510] Do Large Language Models Reduce Research Novelty? Evidence from Information Systems Journals

Abstract page for arXiv paper 2603.22510: Do Large Language Models Reduce Research Novelty? Evidence from Information Systems Journals

[2603.22492] Tiny Inference-Time Scaling with Latent Verifiers

Abstract page for arXiv paper 2603.22492: Tiny Inference-Time Scaling with Latent Verifiers

[2603.22479] Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games

Abstract page for arXiv paper 2603.22479: Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games

[2603.22473] Functional Component Ablation Reveals Specialization Patterns in Hybrid Language Model Architectures

Abstract page for arXiv paper 2603.22473: Functional Component Ablation Reveals Specialization Patterns in Hybrid Language Model Architec...

[2603.22355] Demystifying Low-Rank Knowledge Distillation in Large Language Models: Convergence, Generalization, and Information-Theoretic Guarantees

Abstract page for arXiv paper 2603.22355: Demystifying Low-Rank Knowledge Distillation in Large Language Models: Convergence, Generalizat...

[2603.22344] Errors in AI-Assisted Retrieval of Medical Literature: A Comparative Study

Abstract page for arXiv paper 2603.22344: Errors in AI-Assisted Retrieval of Medical Literature: A Comparative Study

[2603.22342] Neutrino Oscillation Parameter Estimation Using Structured Hierarchical Transformers

Abstract page for arXiv paper 2603.22342: Neutrino Oscillation Parameter Estimation Using Structured Hierarchical Transformers