Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion
and Prefix-Tuned VAEs

v1v2 (latest)

Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs

4 October 2024

Pritom Saha Akash

Kevin Chen-Chuan Chang

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Papers citing "Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs"

10 / 10 papers shown

Title
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport Weijie Xu Xiaoyu Jiang Srinivasan H. Sengamedu Francis Iannacci Jinjin Zhao OT BDL 74 20 0 03 Jul 2023
Scaling Instruction-Finetuned Language Models Hyung Won Chung Le Hou Shayne Longpre Barret Zoph Yi Tay ... Jacob Devlin Adam Roberts Denny Zhou Quoc V. Le Jason W. Wei ReLM LRM 234 3,165 0 20 Oct 2022
BERTopic: Neural topic modeling with a class-based TF-IDF procedure M. Grootendorst 163 1,498 0 11 Mar 2022
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 252 4,305 0 01 Jan 2021
Context Reinforced Neural Topic Modeling over Short Texts Jiachun Feng Zusheng Zhang Chengzhuo Ding Yanghui Rao Haoran Xie BDL 98 32 0 11 Aug 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 905 42,520 0 28 May 2020
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence Federico Bianchi Silvia Terragni Dirk Hovy AI4TS 108 296 0 08 Apr 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 506 20,376 0 23 Oct 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,324 0 11 Oct 2018
Autoencoding Variational Inference For Topic Models Akash Srivastava Charles Sutton BDL DRL 152 564 0 04 Mar 2017

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