Deep de Finetti: Recovering Topic Distributions from Large Language Models

21 December 2023

Papers citing "Deep de Finetti: Recovering Topic Distributions from Large Language Models"

8 / 8 papers shown

Title
Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis Alexander Ku Declan Campbell Xuechunzi Bai Jiayi Geng Ryan Liu ... Ilia Sucholutsky Veniamin Veselovsky Liyi Zhang Jian-Qiao Zhu Thomas L. Griffiths ELM 95 3 0 17 Mar 2025
Eliciting the Priors of Large Language Models using Iterated In-Context Learning Jian-Qiao Zhu Thomas L. Griffiths BDL 45 2 0 04 Jun 2024
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective Fabian Falck Ziyu Wang Chris Holmes 58 13 0 02 Jun 2024
Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo Jian-Qiao Zhu Haijiang Yan Thomas L. Griffiths 30 2 0 30 Jan 2024
Incoherent Probability Judgments in Large Language Models Jian-Qiao Zhu Thomas L. Griffiths 83 6 0 30 Jan 2024
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding Yuchen Li Yuan-Fang Li Andrej Risteski 120 61 0 07 Mar 2023
Probing Classifiers: Promises, Shortcomings, and Advances Yonatan Belinkov 226 405 0 24 Feb 2021
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 201 882 0 03 May 2018