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 ...

[2603.22819] TDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Visual Alignment

Abstract page for arXiv paper 2603.22819: TDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Vi...

[2603.22977] DariMis: Harm-Aware Modeling for Dari Misinformation Detection on YouTube

Abstract page for arXiv paper 2603.22977: DariMis: Harm-Aware Modeling for Dari Misinformation Detection on YouTube

[2603.22815] Focus, Don't Prune: Identifying Instruction-Relevant Regions for Information-Rich Image Understanding

Abstract page for arXiv paper 2603.22815: Focus, Don't Prune: Identifying Instruction-Relevant Regions for Information-Rich Image Underst...

[2603.22964] A PAC-Bayesian approach to generalization for quantum models

Abstract page for arXiv paper 2603.22964: A PAC-Bayesian approach to generalization for quantum models

[2603.22959] Stepwise Variational Inference with Vine Copulas

Abstract page for arXiv paper 2603.22959: Stepwise Variational Inference with Vine Copulas

[2603.22796] PhotoAgent: A Robotic Photographer with Spatial and Aesthetic Understanding

Abstract page for arXiv paper 2603.22796: PhotoAgent: A Robotic Photographer with Spatial and Aesthetic Understanding

[2603.22954] Privacy-Preserving EHR Data Transformation via Geometric Operators: A Human-AI Co-Design Technical Report

Abstract page for arXiv paper 2603.22954: Privacy-Preserving EHR Data Transformation via Geometric Operators: A Human-AI Co-Design Techni...

[2603.22790] Quantum Random Forest for the Regression Problem

Abstract page for arXiv paper 2603.22790: Quantum Random Forest for the Regression Problem

[2603.22908] Dual-Teacher Distillation with Subnetwork Rectification for Black-Box Domain Adaptation

Abstract page for arXiv paper 2603.22908: Dual-Teacher Distillation with Subnetwork Rectification for Black-Box Domain Adaptation

[2603.22779] KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao

Abstract page for arXiv paper 2603.22779: KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao

[2603.22765] DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-Persona

Abstract page for arXiv paper 2603.22765: DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-P...

[2603.22816] When AI Shows Its Work, Is It Actually Working? Step-Level Evaluation Reveals Frontier Language Models Frequently Bypass Their Own Reasoning

Abstract page for arXiv paper 2603.22816: When AI Shows Its Work, Is It Actually Working? Step-Level Evaluation Reveals Frontier Language...

[2603.22808] Combinatorial Privacy: Private Multi-Party Bitstream Grand Sum by Hiding in Birkhoff Polytopes

Abstract page for arXiv paper 2603.22808: Combinatorial Privacy: Private Multi-Party Bitstream Grand Sum by Hiding in Birkhoff Polytopes

[2603.22771] Explainable Threat Attribution for IoT Networks Using Conditional SHAP and Flow Behavior Modelling

Abstract page for arXiv paper 2603.22771: Explainable Threat Attribution for IoT Networks Using Conditional SHAP and Flow Behavior Modelling

[2603.22758] Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Centric Learning

Abstract page for arXiv paper 2603.22758: Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Cen...

[2603.22755] KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-Hoc Cooperative LLM Training

Abstract page for arXiv paper 2603.22755: KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-H...

[2603.22750] REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees

Abstract page for arXiv paper 2603.22750: REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees

[2603.22629] LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation

Abstract page for arXiv paper 2603.22629: LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation

[2603.22665] Improving LLM Predictions via Inter-Layer Structural Encoders

Abstract page for arXiv paper 2603.22665: Improving LLM Predictions via Inter-Layer Structural Encoders

[2603.22624] Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion

Abstract page for arXiv paper 2603.22624: Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion