MinT: Managed Infrastructure for Training and Serving Millions of LLMs
Paper • 2605.13779 • Published • 216
Joel Wang
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MinT: Managed Infrastructure for Training and Serving Millions of LLMs upvoted a paper 6 days ago
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training upvoted a paper 6 days ago
Learning, Fast and Slow: Towards LLMs That Adapt ContinuallyOrganizations
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SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training
Paper • 2605.08738 • Published • 13
Learning, Fast and Slow: Towards LLMs That Adapt Continually
Paper • 2605.12484 • Published • 17
Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs
Paper • 2605.12460 • Published • 17
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
Paper • 2605.13941 • Published • 23
TextLDM: Language Modeling with Continuous Latent Diffusion
Paper • 2605.07748 • Published • 26
Teaching Language Models to Think in Code
Paper • 2605.07237 • Published • 30
Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models
Paper • 2605.07721 • Published • 29
SEIF: Self-Evolving Reinforcement Learning for Instruction Following
Paper • 2605.07465 • Published • 29
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