Collections
Discover the best community collections!
Collections including paper arxiv:2311.10642
-
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 16 -
JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention
Paper • 2310.00535 • Published • 2 -
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla
Paper • 2307.09458 • Published • 10 -
The Impact of Depth and Width on Transformer Language Model Generalization
Paper • 2310.19956 • Published • 9
-
Measuring the Effects of Data Parallelism on Neural Network Training
Paper • 1811.03600 • Published • 2 -
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Paper • 1804.04235 • Published • 2 -
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Paper • 1905.11946 • Published • 3 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 61
-
Linear Transformers with Learnable Kernel Functions are Better In-Context Models
Paper • 2402.10644 • Published • 78 -
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Paper • 2305.13245 • Published • 5 -
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
Paper • 2402.15220 • Published • 19 -
Sequence Parallelism: Long Sequence Training from System Perspective
Paper • 2105.13120 • Published • 5
-
System 2 Attention (is something you might need too)
Paper • 2311.11829 • Published • 39 -
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers
Paper • 2311.10642 • Published • 23 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 70
-
Attention or Convolution: Transformer Encoders in Audio Language Models for Inference Efficiency
Paper • 2311.02772 • Published • 3 -
Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities
Paper • 2311.05698 • Published • 9 -
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems
Paper • 2311.05884 • Published • 5 -
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers
Paper • 2311.10642 • Published • 23
-
The Impact of Depth and Width on Transformer Language Model Generalization
Paper • 2310.19956 • Published • 9 -
Retentive Network: A Successor to Transformer for Large Language Models
Paper • 2307.08621 • Published • 169 -
RWKV: Reinventing RNNs for the Transformer Era
Paper • 2305.13048 • Published • 12 -
Attention Is All You Need
Paper • 1706.03762 • Published • 41