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LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models

LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models

13 June 2024
Xiaohao Yang
He Zhao
Dinh Q. Phung
Wray L. Buntine
Lan Du
    ALM
    ELM
ArXivPDFHTML

Papers citing "LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models"

4 / 4 papers shown
Title
Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation
Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation
Zhiyin Tan
Jennifer D'Souza
ELM
63
0
0
11 Feb 2025
Iterative Improvement of an Additively Regularized Topic Model
Iterative Improvement of an Additively Regularized Topic Model
Alex Gorbulev
V. Alekseev
Konstantin Vorontsov
24
0
0
11 Aug 2024
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
29,632
0
16 Jan 2013
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