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Collections including paper arxiv:2401.03462
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Adapting Language Models to Compress Contexts
Paper • 2305.14788 • Published • 1 -
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon
Paper • 2401.03462 • Published • 27 -
Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization
Paper • 2401.07793 • Published • 3 -
Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression
Paper • 2402.16058 • Published
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LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Paper • 2402.13753 • Published • 115 -
Data Engineering for Scaling Language Models to 128K Context
Paper • 2402.10171 • Published • 24 -
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
Paper • 2402.11550 • Published • 17 -
The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey
Paper • 2401.07872 • Published • 2
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 53 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 19 -
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
Paper • 2402.15220 • Published • 19 -
Linear Transformers are Versatile In-Context Learners
Paper • 2402.14180 • Published • 6
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Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 140 -
YaRN: Efficient Context Window Extension of Large Language Models
Paper • 2309.00071 • Published • 67 -
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon
Paper • 2401.03462 • Published • 27 -
Extending LLMs' Context Window with 100 Samples
Paper • 2401.07004 • Published • 16
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E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
Paper • 2401.06951 • Published • 26 -
Extending LLMs' Context Window with 100 Samples
Paper • 2401.07004 • Published • 16 -
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon
Paper • 2401.03462 • Published • 27 -
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry
Paper • 2402.04347 • Published • 14