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Collections including paper arxiv:2203.16634

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 • 15
The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey

Paper • 2401.07872 • Published Jan 15 • 2

Papers - Transformers Without Positional Encoding - NoPE

Length Generalization of Causal Transformers without Position Encoding

Paper • 2404.12224 • Published Apr 18 • 1
Transformer Language Models without Positional Encodings Still Learn Positional Information

Paper • 2203.16634 • Published Mar 30, 2022 • 5
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings

Paper • 2305.13571 • Published May 23, 2023 • 2
The Impact of Positional Encoding on Length Generalization in Transformers

Paper • 2305.19466 • Published May 31, 2023 • 2

Papers - University of Tel-Aviv

Analyzing Transformers in Embedding Space

Paper • 2209.02535 • Published Sep 6, 2022 • 3
Prompt-to-Prompt Image Editing with Cross Attention Control

Paper • 2208.01626 • Published Aug 2, 2022 • 2
Dynamic Typography: Bringing Words to Life

Paper • 2404.11614 • Published Apr 17 • 41
Transformer Language Models without Positional Encodings Still Learn Positional Information

Paper • 2203.16634 • Published Mar 30, 2022 • 5

Papers - Encoders - Roberta

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 7
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

Paper • 1907.12461 • Published Jul 29, 2019 • 1
Transformer Language Models without Positional Encodings Still Learn Positional Information

Paper • 2203.16634 • Published Mar 30, 2022 • 5

Papers - University - University of Washington

The Curious Case of Neural Text Degeneration

Paper • 1904.09751 • Published Apr 22, 2019 • 3
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Paper • 1905.10044 • Published May 24, 2019 • 1
PIQA: Reasoning about Physical Commonsense in Natural Language

Paper • 1911.11641 • Published Nov 26, 2019 • 2

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation

Paper • 2403.19319 • Published Mar 28 • 10
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Paper • 2404.01331 • Published Mar 29 • 24
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models

Paper • 2404.03118 • Published Apr 3 • 23

LIMA: Less Is More for Alignment

Paper • 2305.11206 • Published May 18, 2023 • 20
Garment3DGen: 3D Garment Stylization and Texture Generation

Paper • 2403.18816 • Published Mar 27 • 20
EgoLifter: Open-world 3D Segmentation for Egocentric Perception

Paper • 2403.18118 • Published Mar 26 • 9
The Unreasonable Ineffectiveness of the Deeper Layers

Paper • 2403.17887 • Published Mar 26 • 77

The Impact of Positional Encoding on Length Generalization in Transformers

Paper • 2305.19466 • Published May 31, 2023 • 2
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings

Paper • 2305.13571 • Published May 23, 2023 • 2
Position Prediction as an Effective Pretraining Strategy

Paper • 2207.07611 • Published Jul 15, 2022 • 1
Transformer Language Models without Positional Encodings Still Learn Positional Information

Paper • 2203.16634 • Published Mar 30, 2022 • 5

LLM architecture

The Impact of Depth and Width on Transformer Language Model Generalization

Paper • 2310.19956 • Published Oct 30, 2023 • 9
Retentive Network: A Successor to Transformer for Large Language Models

Paper • 2307.08621 • Published Jul 17, 2023 • 170
RWKV: Reinventing RNNs for the Transformer Era

Paper • 2305.13048 • Published May 22, 2023 • 12
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 41

Positional embeddings

Cure the headache of Transformers via Collinear Constrained Attention

Paper • 2309.08646 • Published Sep 15, 2023 • 12
YaRN: Efficient Context Window Extension of Large Language Models

Paper • 2309.00071 • Published Aug 31, 2023 • 65
PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training

Paper • 2309.10400 • Published Sep 19, 2023 • 25
Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit

Paper • 2205.13522 • Published May 26, 2022 • 1

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