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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
AI RESEARCH
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!
GENERAL AI NEWS
AI Education: How to Get Ahead in the 21st Century Job Market!
The AI Breakthrough That Could Change the World!
AI RESEARCH
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
The Dark Side of AI: What You Need to Know About the Ethical Implications of Machine Learning!
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
AI RESEARCH

Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis

June 16, 2025 Admin

arXiv:2506.11526v1 Announce Type: cross Abstract: For autonomous vehicles, safe navigation in complex environments depends on handling a broad range of…

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PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis

June 16, 2025 Admin

arXiv:2506.10669v2 Announce Type: replace-cross Abstract: Background and Objective: Prototype-based methods improve interpretability by learning fine-grained part-prototypes; however, their visualization in…

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A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data

June 14, 2025 Admin

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FDTooth: Intraoral Photographs and CBCT Images for Fenestration and Dehiscence Detection

June 14, 2025 Admin

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A Conjecture on a Fundamental Trade-Off between Certainty and Scope in Symbolic and Generative AI

June 13, 2025 Admin

arXiv:2506.10130v1 Announce Type: new Abstract: This article introduces a conjecture that formalises a fundamental trade-off between provable correctness and broad…

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CoRT: Code-integrated Reasoning within Thinking

June 13, 2025 Admin

arXiv:2506.09820v2 Announce Type: replace-cross Abstract: Large Reasoning Models (LRMs) like o1 and DeepSeek-R1 have shown remarkable progress in natural language…

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VideoDeepResearch: Long Video Understanding With Agentic Tool Using

June 13, 2025 Admin

arXiv:2506.10821v1 Announce Type: cross Abstract: Long video understanding (LVU) presents a significant challenge for current multi-modal large language models (MLLMs)…

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What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps

June 13, 2025 Admin

arXiv:2506.10785v1 Announce Type: cross Abstract: Artificial Intelligence (AI)-powered features have rapidly proliferated across mobile apps in various domains, including productivity,…

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Policy-Based Trajectory Clustering in Offline Reinforcement Learning

June 13, 2025 Admin

arXiv:2506.09202v2 Announce Type: replace-cross Abstract: We introduce a novel task of clustering trajectories from offline reinforcement learning (RL) datasets, where…

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FedOcw: optimized federated learning for cross-lingual speech-based Parkinson’s disease detection

June 13, 2025 Admin

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LRMoE: Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes

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