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TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar
Paper • 2510.14972 • Published • 34 -
LightMem: Lightweight and Efficient Memory-Augmented Generation
Paper • 2510.18866 • Published • 112 -
Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning
Paper • 2510.19338 • Published • 114 -
The Smol Training Playbook
📚2.9kThe secrets to building world-class LLMs
Jonatan Borkowski PRO
j14i
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0xSero/GLM-4.7-REAP-50
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Scaling OpenEnv: From Free Usage to Thousands of Concurrent Environments
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NVIDIA brings agents to life with DGX Spark and Reachy Mini
Organizations
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LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
Paper • 2509.09926 • Published • 13 -
What Breaks Knowledge Graph based RAG? Empirical Insights into Reasoning under Incomplete Knowledge
Paper • 2508.08344 • Published -
MemMamba: Rethinking Memory Patterns in State Space Model
Paper • 2510.03279 • Published • 72 -
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
Paper • 2510.07499 • Published • 48
-
TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar
Paper • 2510.14972 • Published • 34 -
LightMem: Lightweight and Efficient Memory-Augmented Generation
Paper • 2510.18866 • Published • 112 -
Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning
Paper • 2510.19338 • Published • 114 -
The Smol Training Playbook
📚2.9kThe secrets to building world-class LLMs
-
LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
Paper • 2509.09926 • Published • 13 -
What Breaks Knowledge Graph based RAG? Empirical Insights into Reasoning under Incomplete Knowledge
Paper • 2508.08344 • Published -
MemMamba: Rethinking Memory Patterns in State Space Model
Paper • 2510.03279 • Published • 72 -
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
Paper • 2510.07499 • Published • 48
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