Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling

1 May 2024

Papers citing "Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling"

6 / 6 papers shown

Title
Contextual Embedding-based Clustering to Identify Topics for Healthcare Service Improvement K. M. S. Islam Ravi Teja Karri Srujan Vegesna Jiawei Wu Praveen Madiraju 19 0 0 18 Apr 2025
Retrieval Augmented Generation for Topic Modeling in Organizational Research: An Introduction with Empirical Demonstration Gerion Spielberger Florian Artinger Jochen Reb Rudolf Kerschreiter RALM 39 0 0 28 Feb 2025
Unsupervised Topic Models are Data Mixers for Pre-training Language Models Jiahui Peng Xinlin Zhuang Qiu Jiantao Ren Ma Jing Yu Tianyi Bai Conghui He 36 0 0 24 Feb 2025
Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation Zhiyin Tan Jennifer D'Souza ELM 65 0 0 11 Feb 2025
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling Yida Mu Chun Dong Kalina Bontcheva Xingyi Song 26 16 0 24 Mar 2024
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 308 11,909 0 04 Mar 2022