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Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 233 -
Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models
Paper • 2511.23319 • Published • 24 -
Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information
Paper • 2511.22176 • Published • 5 -
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
Paper • 2511.22265 • Published • 2
Liam D Gray
ldgray
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Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 233 -
Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models
Paper • 2511.23319 • Published • 24 -
Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information
Paper • 2511.22176 • Published • 5 -
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
Paper • 2511.22265 • Published • 2
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