Decoding In-Context Learning: Neuroscience-inspired Analysis of Representations in Large Language Models

30 September 2023

Papers citing "Decoding In-Context Learning: Neuroscience-inspired Analysis of Representations in Large Language Models"

5 / 5 papers shown

Title
Distributed Rule Vectors is A Key Mechanism in Large Language Models' In-Context Learning Bowen Zheng Ming Ma Zhongqiao Lin Tianming Yang 25 1 0 23 Jun 2024
The Learnability of In-Context Learning Noam Wies Yoav Levine Amnon Shashua 117 91 0 14 Mar 2023
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 315 8,448 0 28 Jan 2022
All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality William Timkey Marten van Schijndel 213 110 0 09 Sep 2021
Probing Classifiers: Promises, Shortcomings, and Advances Yonatan Belinkov 224 404 0 24 Feb 2021