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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!
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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

TIP-Search: Time-Predictable Inference Scheduling for Market Prediction under Uncertain Load

June 11, 2025 Admin

arXiv:2506.08026v1 Announce Type: new Abstract: This paper proposes TIP-Search, a time-predictable inference scheduling framework for real-time market prediction under uncertain…

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Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction

June 11, 2025 Admin

arXiv:2506.07976v2 Announce Type: replace-cross Abstract: The current paradigm of test-time scaling relies on generating long reasoning traces (“thinking” more) before…

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The impact of fine tuning in LLaMA on hallucinations for named entity extraction in legal documentation

June 11, 2025 Admin

arXiv:2506.08827v1 Announce Type: cross Abstract: The extraction of information about traffic accidents from legal documents is crucial for quantifying insurance…

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FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency

June 11, 2025 Admin

arXiv:2506.08822v1 Announce Type: cross Abstract: Generative modeling-based visuomotor policies have been widely adopted in robotic manipulation attributed to their ability…

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MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization

June 11, 2025 Admin

arXiv:2506.07563v2 Announce Type: replace-cross Abstract: Personalized recommendation systems must adapt to user interactions across different domains. Traditional approaches like MLoRA…

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Limitations of cell embedding metrics assessed using drifting islands

June 11, 2025 Admin

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Meet the MIT engineer who invented an AI-powered way to restore art

June 11, 2025 Admin

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An open AI model could help medical experts to interpret chest X-rays

June 11, 2025 Admin

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World first: brain implant lets man speak with expression ― and sing

June 11, 2025 Admin

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A fully open AI foundation model applied to chest radiography

June 11, 2025 Admin

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

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