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Collections including paper arxiv:2401.07004

TRAMS: Training-free Memory Selection for Long-range Language Modeling

Paper • 2310.15494 • Published Oct 24, 2023 • 1
A Long Way to Go: Investigating Length Correlations in RLHF

Paper • 2310.03716 • Published Oct 5, 2023 • 9
YaRN: Efficient Context Window Extension of Large Language Models

Paper • 2309.00071 • Published Aug 31, 2023 • 65
Giraffe: Adventures in Expanding Context Lengths in LLMs

Paper • 2308.10882 • Published Aug 21, 2023 • 1

LLoCO: Learning Long Contexts Offline

Paper • 2404.07979 • Published Apr 11 • 19
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21 • 110
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Paper • 2402.11550 • Published Feb 18 • 14
LongAlign: A Recipe for Long Context Alignment of Large Language Models

Paper • 2401.18058 • Published Jan 31 • 21

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

Paper • 2404.08801 • Published Apr 12 • 62
Ring Attention with Blockwise Transformers for Near-Infinite Context

Paper • 2310.01889 • Published Oct 3, 2023 • 9
World Model on Million-Length Video And Language With RingAttention

Paper • 2402.08268 • Published Feb 13 • 36
Scaling Transformer to 1M tokens and beyond with RMT

Paper • 2304.11062 • Published Apr 19, 2023 • 2

Lee's RoPE Tricks / Context Extension Reads

Set of Long Context (RoPE or otherwise) I'm collecting off of HF

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21 • 110
Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15 • 21
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Paper • 2402.11550 • Published Feb 18 • 14
The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey

Paper • 2401.07872 • Published Jan 15 • 2

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 94
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15 • 38
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15 • 17
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15 • 35

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models

Paper • 2401.06951 • Published Jan 13 • 24
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Paper • 2401.01325 • Published Jan 2 • 26
Extending LLMs' Context Window with 100 Samples

Paper • 2401.07004 • Published Jan 13 • 14
LongAlign: A Recipe for Long Context Alignment of Large Language Models

Paper • 2401.18058 • Published Jan 31 • 21

Extending LLMs' Context Window with 100 Samples

Paper • 2401.07004 • Published Jan 13 • 14

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 52
Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28 • 18
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Paper • 2402.15220 • Published Feb 23 • 19
Linear Transformers are Versatile In-Context Learners

Paper • 2402.14180 • Published Feb 21 • 6

Extending LLMs' Context Window with 100 Samples

Paper • 2401.07004 • Published Jan 13 • 14
Extending Context Window of Large Language Models via Semantic Compression

Paper • 2312.09571 • Published Dec 15, 2023 • 12
RULER: What's the Real Context Size of Your Long-Context Language Models?

Paper • 2404.06654 • Published Apr 9 • 33

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 140
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 20
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 63

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