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UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

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...

AI News - General · 4 min ·
[2603.16629] MLLM-based Textual Explanations for Face Comparison
Llms

[2603.16629] MLLM-based Textual Explanations for Face Comparison

Abstract page for arXiv paper 2603.16629: MLLM-based Textual Explanations for Face Comparison

arXiv - AI · 4 min ·
[2603.14267] DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization
Machine Learning

[2603.14267] DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization

Abstract page for arXiv paper 2603.14267: DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and ...

arXiv - AI · 4 min ·

All Content

[2510.22373] VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations
Data Science

[2510.22373] VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations

Abstract page for arXiv paper 2510.22373: VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations

arXiv - AI · 4 min ·
[2510.20264] Optimistic Task Inference for Behavior Foundation Models
Llms

[2510.20264] Optimistic Task Inference for Behavior Foundation Models

Abstract page for arXiv paper 2510.20264: Optimistic Task Inference for Behavior Foundation Models

arXiv - Machine Learning · 4 min ·
[2510.21314] A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization
Llms

[2510.21314] A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization

Abstract page for arXiv paper 2510.21314: A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization

arXiv - Machine Learning · 4 min ·
[2510.07746] t-SNE Exaggerates Clusters, Provably
Nlp

[2510.07746] t-SNE Exaggerates Clusters, Provably

Abstract page for arXiv paper 2510.07746: t-SNE Exaggerates Clusters, Provably

arXiv - Machine Learning · 3 min ·
[2510.06377] Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
Llms

[2510.06377] Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data

Abstract page for arXiv paper 2510.06377: Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data

arXiv - Machine Learning · 4 min ·
[2510.06068] MorphArtGrasp: Morphology-Aware Cross-Embodiment Dexterous Hand Articulation Generation for Grasping
Machine Learning

[2510.06068] MorphArtGrasp: Morphology-Aware Cross-Embodiment Dexterous Hand Articulation Generation for Grasping

Abstract page for arXiv paper 2510.06068: MorphArtGrasp: Morphology-Aware Cross-Embodiment Dexterous Hand Articulation Generation for Gra...

arXiv - AI · 4 min ·
[2510.00236] Per-example gradients: a new frontier for understanding and improving optimizers
Machine Learning

[2510.00236] Per-example gradients: a new frontier for understanding and improving optimizers

Abstract page for arXiv paper 2510.00236: Per-example gradients: a new frontier for understanding and improving optimizers

arXiv - Machine Learning · 4 min ·
[2510.01051] GEM: A Gym for Agentic LLMs
Llms

[2510.01051] GEM: A Gym for Agentic LLMs

Abstract page for arXiv paper 2510.01051: GEM: A Gym for Agentic LLMs

arXiv - Machine Learning · 4 min ·
[2509.26544] Bayesian Influence Functions for Hessian-Free Data Attribution
Machine Learning

[2509.26544] Bayesian Influence Functions for Hessian-Free Data Attribution

Abstract page for arXiv paper 2509.26544: Bayesian Influence Functions for Hessian-Free Data Attribution

arXiv - Machine Learning · 3 min ·
[2509.26601] MENLO: From Preferences to Proficiency -- Evaluating and Modeling Native-like Quality Across 47 Languages
Llms

[2509.26601] MENLO: From Preferences to Proficiency -- Evaluating and Modeling Native-like Quality Across 47 Languages

Abstract page for arXiv paper 2509.26601: MENLO: From Preferences to Proficiency -- Evaluating and Modeling Native-like Quality Across 47...

arXiv - Machine Learning · 4 min ·
[2509.25087] Scaling with Collapse: Efficient and Predictable Training of LLM Families
Llms

[2509.25087] Scaling with Collapse: Efficient and Predictable Training of LLM Families

Abstract page for arXiv paper 2509.25087: Scaling with Collapse: Efficient and Predictable Training of LLM Families

arXiv - Machine Learning · 4 min ·
[2509.24203] Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends
Llms

[2509.24203] Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends

Abstract page for arXiv paper 2509.24203: Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRP...

arXiv - Machine Learning · 4 min ·
[2508.07638] Data Selection for LLM Alignment Using Fine-Grained Preferences
Llms

[2508.07638] Data Selection for LLM Alignment Using Fine-Grained Preferences

Abstract page for arXiv paper 2508.07638: Data Selection for LLM Alignment Using Fine-Grained Preferences

arXiv - Machine Learning · 4 min ·
[2508.04865] Agnostics: Learning to Code in Any Programming Language via Reinforcement with a Universal Learning Environment
Llms

[2508.04865] Agnostics: Learning to Code in Any Programming Language via Reinforcement with a Universal Learning Environment

Abstract page for arXiv paper 2508.04865: Agnostics: Learning to Code in Any Programming Language via Reinforcement with a Universal Lear...

arXiv - Machine Learning · 4 min ·
[2508.18672] Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
Llms

[2508.18672] Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks

Abstract page for arXiv paper 2508.18672: Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks

arXiv - Machine Learning · 4 min ·
[2506.07459] ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning
Machine Learning

[2506.07459] ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning

Abstract page for arXiv paper 2506.07459: ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2507.06996] Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
Ai Infrastructure

[2507.06996] Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing

Abstract page for arXiv paper 2507.06996: Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing

arXiv - Machine Learning · 3 min ·
[2506.09427] A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation
Machine Learning

[2506.09427] A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation

Abstract page for arXiv paper 2506.09427: A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation

arXiv - AI · 4 min ·
[2505.17568] JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models
Llms

[2505.17568] JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models

Abstract page for arXiv paper 2505.17568: JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models

arXiv - AI · 4 min ·
[2502.19167] Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
Machine Learning

[2502.19167] Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study

Abstract page for arXiv paper 2502.19167: Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Bench...

arXiv - Machine Learning · 4 min ·
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