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LRMoE: Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price Proposing Better Rollouts for On-Policy Distillation
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LRMoE: Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes

October 31, 2026 Admin
AI RESEARCH

REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation

October 31, 2026 Admin
AI RESEARCH

Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference

October 31, 2026 Admin
AI RESEARCH

There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price

October 31, 2026 Admin
AI RESEARCH

Proposing Better Rollouts for On-Policy Distillation

October 31, 2026 Admin
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LRMoE: Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes
AI RESEARCH
LRMoE: Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes
REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation
AI RESEARCH
REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation
Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference
AI RESEARCH
Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference
There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price
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There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price
AI Education: How to Get Ahead in the 21st Century Job Market!
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AI Education: How to Get Ahead in the 21st Century Job Market!
The AI Breakthrough That Could Change the World!
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The AI Breakthrough That Could Change the World!
The Power of NLP: How to Transform Text into Actionable Insights!
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The Power of NLP: How to Transform Text into Actionable Insights!
The Dark Side of AI: What You Need to Know About the Ethical Implications of Machine Learning!
AI Ethics
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LRMoE: Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes
AI RESEARCH
LRMoE: Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes
REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation
AI RESEARCH
REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation
Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference
AI RESEARCH
Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference
There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price
AI RESEARCH
There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price
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TabArena: A Living Benchmark for Machine Learning on Tabular Data

June 23, 2025 Admin

arXiv:2506.16791v1 Announce Type: cross Abstract: With the growing popularity of deep learning and foundation models for tabular data, the need…

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What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity

June 23, 2025 Admin

arXiv:2506.16782v1 Announce Type: cross Abstract: Fairness in machine learning (ML) has become a rapidly growing area of research. But why,…

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One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution

June 23, 2025 Admin

arXiv:2506.15591v2 Announce Type: replace-cross Abstract: It is a challenging problem to reproduce rich spatial details while maintaining temporal consistency in…

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Facilitating laboratory automation using a robot with a simple and inexpensive camera detection system

June 20, 2025 Admin

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A deep generative model for deciphering cellular dynamics and in silico drug discovery in complex diseases

June 20, 2025 Admin

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Evaluating language model embeddings for Parkinson’s disease cohort harmonization using a novel manually curated variable mapping schema

June 20, 2025 Admin

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The future of open human feedback

June 20, 2025 Admin

Nature Machine Intelligence, Published online: 20 June 2025; doi:10.1038/s42256-025-01038-2 Don-Yehiya et al. explore creating an open ecosystem for human feedback…

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Unveiling spatial domains from spatial multi-omics data using dual-graph regularized ensemble learning

June 20, 2025 Admin

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Pixel-level Certified Explanations via Randomized Smoothing

June 19, 2025 Admin

arXiv:2506.15499v1 Announce Type: cross Abstract: Post-hoc attribution methods aim to explain deep learning predictions by highlighting influential input pixels. However,…

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Over-squashing in Spatiotemporal Graph Neural Networks

June 19, 2025 Admin

arXiv:2506.15507v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) have achieved remarkable success across various domains. However, recent theoretical advances…

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