Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon
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2401.03462
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Published
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25
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MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
Paper • 2305.07185 • Published • 8 -
YaRN: Efficient Context Window Extension of Large Language Models
Paper • 2309.00071 • Published • 58 -
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
Paper • 2401.02669 • Published • 10 -
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Paper • 2401.01325 • Published • 24 -
Extending Context Window of Large Language Models via Semantic Compression
Paper • 2312.09571 • Published • 12 -
Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention
Paper • 2312.08618 • Published • 11 -
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 131 -
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
Paper • 2401.06951 • Published • 23 -
Extending LLMs' Context Window with 100 Samples
Paper • 2401.07004 • Published • 14 -
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
Paper • 2401.18079 • Published • 5 -
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
Paper • 2402.02750 • Published • 3 -
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Paper • 2402.09727 • Published • 35 -
In Search of Needles in a 10M Haystack: Recurrent Memory Finds What LLMs Miss
Paper • 2402.10790 • Published • 39 -
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Paper • 2402.13753 • Published • 104 -
Data Engineering for Scaling Language Models to 128K Context
Paper • 2402.10171 • Published • 18 -
Striped Attention: Faster Ring Attention for Causal Transformers
Paper • 2311.09431 • Published • 4 -
Ring Attention with Blockwise Transformers for Near-Infinite Context
Paper • 2310.01889 • Published • 8 -
LLoCO: Learning Long Contexts Offline
Paper • 2404.07979 • Published • 15 -
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Paper • 2404.07143 • Published • 92 -
InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory
Paper • 2402.04617 • Published • 4 -
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
Paper • 2404.08801 • Published • 62 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 42 -
Extending Llama-3's Context Ten-Fold Overnight
Paper • 2404.19553 • Published • 28 -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 51 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 33