Training-Free Long-Context Scaling of Large Language Models
Paper
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2402.17463
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Published
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21
Capabilities
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Evaluating Very Long-Term Conversational Memory of LLM Agents
Paper • 2402.17753 • Published • 19 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 23 -
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
Paper • 2403.09347 • Published • 21 -
Data Engineering for Scaling Language Models to 128K Context
Paper • 2402.10171 • Published • 24 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 36 -
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Paper • 2404.07143 • Published • 105 -
LLoCO: Learning Long Contexts Offline
Paper • 2404.07979 • Published • 21 -
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
Paper • 2404.08801 • Published • 66 -
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
Paper • 2401.02669 • Published • 16 -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 53 -
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Paper • 2407.01370 • Published • 86 -
s1: Simple test-time scaling
Paper • 2501.19393 • Published • 99