XGen-7B Technical Report
Paper
• 2309.03450 • Published
• 8
interesting
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FLM-101B: An Open LLM and How to Train It with $100K Budget
Paper • 2309.03852 • Published • 45 -
Robotic Table Tennis: A Case Study into a High Speed Learning System
Paper • 2309.03315 • Published • 7 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82 -
Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper • 2401.02038 • Published • 65 -
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
Paper • 2401.16380 • Published • 51 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 73 -
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
Specialized Language Models with Cheap Inference from Limited Domain Data
Paper • 2402.01093 • Published • 47 -
SONAR-LLM: Autoregressive Transformer that Thinks in Sentence Embeddings and Speaks in Tokens
Paper • 2508.05305 • Published • 47 -
Who invented deep residual learning?
Paper • 2509.24732 • Published • 5 -
Rethinking the shape convention of an MLP
Paper • 2510.01796 • Published • 5 -
End-to-End Test-Time Training for Long Context
Paper • 2512.23675 • Published • 24