We explore how generating a chain of thought---a series of intermediate reasoning steps---significantly
improves the ability of large language models to perform complex reasoning. In …

We present EDA: easy data augmentation techniques for boosting performance on text
classification tasks. EDA consists of four simple but powerful operations: synonym replacement, …

… Jason Wei, Maarten Bosma, Vincent Zhao, and Adams Wei Yu implemented the NLP tasks.
Jason Wei, Vincent Zhao, and Adams Wei … Jason Wei designed and ran the ablation studies. …

Scaling up language models has been shown to predictably improve performance and
sample efficiency on a wide range of downstream tasks. This paper instead discusses an …

We find that liquidity is priced in corporate yield spreads. Using a battery of liquidity
measures covering over 4,000 corporate bonds and spanning both investment grade and …

Finetuning language models on a collection of datasets phrased as instructions has been
shown to improve model performance and generalization to unseen tasks. In this paper we …

Large language models have been shown to achieve remarkable performance across a variety
of natural language tasks using few-shot learning, which drastically reduces the number …

Large language models (LLMs) have demonstrated impressive capabilities, but the bar for
clinical applications is high. Attempts to assess the clinical knowledge of models typically rely …

… They also thank David Lando for his communications with Jason Wei on the topic. Jeffrey
Rosenthal acknowledges financial support by NSERC, and Jason Wei acknowledges financial …

We study the design decision of publicly available instruction tuning methods, by reproducing
and breaking down the development of Flan 2022 (Chung et al., 2022). Through careful …