Is In-Context Learning in Large Language Models Bayesian? A Martingale
Perspective

Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

2 June 2024

Chris Holmes

Papers citing "Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective"

7 / 7 papers shown

Title
Racing Thoughts: Explaining Contextualization Errors in Large Language Models Michael A. Lepori Michael Mozer Asma Ghandeharioun LRM 40 1 0 02 Oct 2024
The Transient Nature of Emergent In-Context Learning in Transformers Aaditya K. Singh Stephanie C. Y. Chan Ted Moskovitz Erin Grant Andrew M. Saxe Felix Hill 51 15 0 14 Nov 2023
Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations Zhuoyan Li Hangxiao Zhu Zhuoran Lu Ming Yin SyDa 57 42 0 11 Oct 2023
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt W. Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 135 62 0 10 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 270 8,441 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 276 5,177 0 28 Jan 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 242 882 0 18 Apr 2021