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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 ·
Accelerating science with AI and simulations
Machine Learning

Accelerating science with AI and simulations

MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...

AI News - General · 10 min ·
[2601.12910] SciCoQA: Quality Assurance for Scientific Paper--Code Alignment
Ai Safety

[2601.12910] SciCoQA: Quality Assurance for Scientific Paper--Code Alignment

Abstract page for arXiv paper 2601.12910: SciCoQA: Quality Assurance for Scientific Paper--Code Alignment

arXiv - AI · 3 min ·

All Content

[2603.23146] Why AI-Generated Text Detection Fails: Evidence from Explainable AI Beyond Benchmark Accuracy
Llms

[2603.23146] Why AI-Generated Text Detection Fails: Evidence from Explainable AI Beyond Benchmark Accuracy

Abstract page for arXiv paper 2603.23146: Why AI-Generated Text Detection Fails: Evidence from Explainable AI Beyond Benchmark Accuracy

arXiv - AI · 4 min ·
[2603.22876] Grounding Sim-to-Real Generalization in Dexterous Manipulation: An Empirical Study with Vision-Language-Action Models
Machine Learning

[2603.22876] Grounding Sim-to-Real Generalization in Dexterous Manipulation: An Empirical Study with Vision-Language-Action Models

Abstract page for arXiv paper 2603.22876: Grounding Sim-to-Real Generalization in Dexterous Manipulation: An Empirical Study with Vision-...

arXiv - AI · 4 min ·
[2603.23041] HUydra: Full-Range Lung CT Synthesis via Multiple HU Interval Generative Modelling
Machine Learning

[2603.23041] HUydra: Full-Range Lung CT Synthesis via Multiple HU Interval Generative Modelling

Abstract page for arXiv paper 2603.23041: HUydra: Full-Range Lung CT Synthesis via Multiple HU Interval Generative Modelling

arXiv - AI · 4 min ·
[2603.22977] DariMis: Harm-Aware Modeling for Dari Misinformation Detection on YouTube
Machine Learning

[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

arXiv - AI · 4 min ·
[2603.22766] From Overload to Convergence: Supporting Multi-Issue Human-AI Negotiation with Bayesian Visualization
Data Science

[2603.22766] From Overload to Convergence: Supporting Multi-Issue Human-AI Negotiation with Bayesian Visualization

Abstract page for arXiv paper 2603.22766: From Overload to Convergence: Supporting Multi-Issue Human-AI Negotiation with Bayesian Visuali...

arXiv - AI · 3 min ·
[2603.22714] PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset
Llms

[2603.22714] PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset

Abstract page for arXiv paper 2603.22714: PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representativ...

arXiv - AI · 3 min ·
[2603.22771] Explainable Threat Attribution for IoT Networks Using Conditional SHAP and Flow Behavior Modelling
Machine Learning

[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

arXiv - Machine Learning · 3 min ·
[2603.22741] Algorithmic warm starts for Hamiltonian Monte Carlo
Data Science

[2603.22741] Algorithmic warm starts for Hamiltonian Monte Carlo

Abstract page for arXiv paper 2603.22741: Algorithmic warm starts for Hamiltonian Monte Carlo

arXiv - Machine Learning · 4 min ·
[2603.22623] To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models
Llms

[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

arXiv - AI · 4 min ·
[2603.22499] OrgForge-IT: A Verifiable Synthetic Benchmark for LLM-Based Insider Threat Detection
Llms

[2603.22499] OrgForge-IT: A Verifiable Synthetic Benchmark for LLM-Based Insider Threat Detection

Abstract page for arXiv paper 2603.22499: OrgForge-IT: A Verifiable Synthetic Benchmark for LLM-Based Insider Threat Detection

arXiv - Machine Learning · 4 min ·
[2603.23436] Similarity-Aware Mixture-of-Experts for Data-Efficient Continual Learning
Machine Learning

[2603.23436] Similarity-Aware Mixture-of-Experts for Data-Efficient Continual Learning

Abstract page for arXiv paper 2603.23436: Similarity-Aware Mixture-of-Experts for Data-Efficient Continual Learning

arXiv - Machine Learning · 4 min ·
[2603.22368] When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data Visualizations
Llms

[2603.22368] When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data Visualizations

Abstract page for arXiv paper 2603.22368: When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data Visualiza...

arXiv - AI · 4 min ·
[2603.22367] Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window
Llms

[2603.22367] Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window

Abstract page for arXiv paper 2603.22367: Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window

arXiv - AI · 3 min ·
[2603.23232] GEM: Guided Expectation-Maximization for Behavior-Normalized Candidate Action Selection in Offline RL
Ai Infrastructure

[2603.23232] GEM: Guided Expectation-Maximization for Behavior-Normalized Candidate Action Selection in Offline RL

Abstract page for arXiv paper 2603.23232: GEM: Guided Expectation-Maximization for Behavior-Normalized Candidate Action Selection in Offl...

arXiv - Machine Learning · 4 min ·
[2603.22988] Robustness Quantification and Uncertainty Quantification: Comparing Two Methods for Assessing the Reliability of Classifier Predictions
Data Science

[2603.22988] Robustness Quantification and Uncertainty Quantification: Comparing Two Methods for Assessing the Reliability of Classifier Predictions

Abstract page for arXiv paper 2603.22988: Robustness Quantification and Uncertainty Quantification: Comparing Two Methods for Assessing t...

arXiv - Machine Learning · 3 min ·
[2603.22321] From Instructions to Assistance: a Dataset Aligning Instruction Manuals with Assembly Videos for Evaluating Multimodal LLMs
Llms

[2603.22321] From Instructions to Assistance: a Dataset Aligning Instruction Manuals with Assembly Videos for Evaluating Multimodal LLMs

Abstract page for arXiv paper 2603.22321: From Instructions to Assistance: a Dataset Aligning Instruction Manuals with Assembly Videos fo...

arXiv - AI · 4 min ·
[2603.22770] From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips
Machine Learning

[2603.22770] From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips

Abstract page for arXiv paper 2603.22770: From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parame...

arXiv - AI · 4 min ·
[2603.22288] Evaluating Prompting Strategies for Chart Question Answering with Large Language Models
Llms

[2603.22288] Evaluating Prompting Strategies for Chart Question Answering with Large Language Models

Abstract page for arXiv paper 2603.22288: Evaluating Prompting Strategies for Chart Question Answering with Large Language Models

arXiv - AI · 3 min ·
[2603.22287] Founder effects shape the evolutionary dynamics of multimodality in open LLM families
Llms

[2603.22287] Founder effects shape the evolutionary dynamics of multimodality in open LLM families

Abstract page for arXiv paper 2603.22287: Founder effects shape the evolutionary dynamics of multimodality in open LLM families

arXiv - AI · 4 min ·
[2603.22675] Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography
Machine Learning

[2603.22675] Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography

Abstract page for arXiv paper 2603.22675: Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatia...

arXiv - AI · 4 min ·
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