publications

2025

1. Less is More: Recursive Reasoning with Tiny Networks

   Alexia Jolicoeur-Martineau

   2025
2. Hierarchical Reasoning Model

   Guan Wang, Jin Li, Yuhao Sun, and 6 more authors

   2025
3. s1: Simple test-time scaling

   Niklas Muennighoff, Zitong Yang, Weijia Shi, and 7 more authors

   2025

2022

1. Chain-of-thought prompting elicits reasoning in large language models

   Jason Wei, Xuezhi Wang, Dale Schuurmans, and 6 more authors

   In Proceedings of the 36th International Conference on Neural Information Processing Systems, New Orleans, LA, USA, 2022

   Abs

   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 particular, we show how such reasoning abilities emerge naturally in sufficiently large language models via a simple method called chain-of-thought prompting, where a few chain of thought demonstrations are provided as exemplars in prompting.Experiments on three large language models show that chain-of-thought prompting improves performance on a range of arithmetic, commonsense, and symbolic reasoning tasks. The empirical gains can be striking. For instance, prompting a PaLM 540B with just eight chain-of-thought exemplars achieves state-of-the-art accuracy on the GSM8K benchmark of math word problems, surpassing even finetuned GPT-3 with a verifier.

2. Emergent Abilities of Large Language Models

   Jason Wei, Yi Tay, Rishi Bommasani, and 13 more authors

   Transactions on Machine Learning Research, 2022

   Survey Certification

2020

1. Language Models are Few-Shot Learners

   Tom Brown, Benjamin Mann, Nick Ryder, and 28 more authors

   In Advances in Neural Information Processing Systems, 2020