Functional Interpolation for Relative Positions Improves Long Context Transformers
Paper • 2310.04418 • Published • 4
Papers - Encoders
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SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs
Paper • 2106.09997 • Published • 2 -
Neural Machine Translation of Rare Words with Subword Units
Paper • 1508.07909 • Published • 4 -
A Multimodal Approach to Device-Directed Speech Detection with Large Language Models
Paper • 2403.14438 • Published • 2 -
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 31 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 49 -
Training LLMs over Neurally Compressed Text
Paper • 2404.03626 • Published • 23 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 10 -
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
Paper • 2103.06874 • Published • 3 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 167 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 109