607 citations · 1.2k across the 31 of their papers we have counts for
4 papers · 1 filter
Self-Alignment with Instruction Backtranslation
Xian Li, Ping Yu, Chunting Zhou +5
We present a scalable method to build a high quality instruction following language model by automatically labelling human-written text with corresponding instructions. Our approac…
Large Language Model Programs
Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz +4
In recent years, large pre-trained language models (LLMs) have demonstrated the ability to follow instructions and perform novel tasks from a few examples. The possibility to param…
Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model
Zeyu Leo Liu, Tim Dettmers, Xi Victoria Lin +2
Large and sparse feed-forward layers (S-FFN) such as Mixture-of-Experts (MoE) have proven effective in scaling up Transformers model size for \textit{pretraining} large language mo…
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization
Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru +15
Recent work has shown that fine-tuning large pre-trained language models on a collection of tasks described via instructions, a.k.a. instruction-tuning, improves their zero and few…