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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
ArXiv (abs)PDFHTML

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
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport
Weijie Xu
Xiaoyu Jiang
Srinivasan H. Sengamedu
Francis Iannacci
Jinjin Zhao
OTBDL
81
20
0
03 Jul 2023
Scaling Instruction-Finetuned Language Models
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
ReLMLRM
234
3,165
0
20 Oct 2022
BERTopic: Neural topic modeling with a class-based TF-IDF procedure
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
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
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
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
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
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
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,324
0
11 Oct 2018
Autoencoding Variational Inference For Topic Models
Autoencoding Variational Inference For Topic Models
Akash Srivastava
Charles Sutton
BDLDRL
152
564
0
04 Mar 2017
1