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Topic Discovery via Latent Space Clustering of Pretrained Language Model
  Representations

Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations

The Web Conference (WWW), 2022
9 February 2022
Yu Meng
Yunyi Zhang
Jiaxin Huang
Yu Zhang
Jiawei Han
ArXiv (abs)PDFHTML

Papers citing "Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations"

32 / 32 papers shown
LiLa-Net: Lightweight Latent LiDAR Autoencoder for 3D Point Cloud Reconstruction
LiLa-Net: Lightweight Latent LiDAR Autoencoder for 3D Point Cloud Reconstruction
Mario Resino
Borja Pérez
Jaime Godoy
Abdulla Al-Kaff
Fernando García
3DPC3DV
150
0
0
02 Oct 2025
A Survey on Retrieval And Structuring Augmented Generation with Large Language Models
A Survey on Retrieval And Structuring Augmented Generation with Large Language Models
Pengcheng Jiang
Siru Ouyang
Yizhu Jiao
Ming Zhong
Runchu Tian
Jiawei Han
RALMKELM
290
10
0
12 Sep 2025
RepCali: High Efficient Fine-tuning Via Representation Calibration in Latent Space for Pre-trained Language Models
RepCali: High Efficient Fine-tuning Via Representation Calibration in Latent Space for Pre-trained Language ModelsData Intelligence (DI), 2025
Fujun Zhang
Xiaoying Fan
Xiangdong Su
Guanglai Gao
365
1
0
13 May 2025
BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection
BERTDetect: A Neural Topic Modelling Approach for Android Malware DetectionThe Web Conference (WWW), 2025
Nishavi Ranaweera
Jiarui Xu
Suranga Seneviratne
Aruna Seneviratne
260
3
0
23 Mar 2025
Poisson-Process Topic Model for Integrating Knowledge from Pre-trained Language Models
Poisson-Process Topic Model for Integrating Knowledge from Pre-trained Language Models
Morgane Austern
Yuanchuan Guo
Zheng Tracy Ke
Tianle Liu
314
0
0
22 Mar 2025
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks
Qiuyu Zhu
Liang Zhang
Qianxiong Xu
Cheng Long
993
2
0
22 Jan 2025
Capturing research literature attitude towards Sustainable Development
  Goals: an LLM-based topic modeling approach
Capturing research literature attitude towards Sustainable Development Goals: an LLM-based topic modeling approachJournal of Big Data (JBD), 2024
Francesco Invernici
Francesca Curati
Jelena Jakimov
Amirhossein Samavi
Anna Bernasconi
340
9
0
05 Nov 2024
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling
CAST: Corpus-Aware Self-similarity Enhanced Topic modellingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Yanan Ma
Chenghao Xiao
Chenhan Yuan
Sabine N van der Veer
Lamiece Hassan
Chenghua Lin
Goran Nenadic
362
1
0
19 Oct 2024
Variational Language Concepts for Interpreting Foundation Language
  Models
Variational Language Concepts for Interpreting Foundation Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Hengyi Wang
Shiwei Tan
Zhiqing Hong
Desheng Zhang
Hao Wang
430
4
0
04 Oct 2024
Self-supervised Topic Taxonomy Discovery in the Box Embedding Space
Self-supervised Topic Taxonomy Discovery in the Box Embedding SpaceTransactions of the Association for Computational Linguistics (TACL), 2024
Yuyin Lu
Hegang Chen
Pengbo Mao
Yanghui Rao
H. Xie
Fu Lee Wang
Qing Li
BDL
371
3
0
27 Aug 2024
Topic Modeling with Fine-tuning LLMs and Bag of Sentences
Topic Modeling with Fine-tuning LLMs and Bag of Sentences
Johannes Schneider
259
3
0
06 Aug 2024
Voices in a Crowd: Searching for Clusters of Unique Perspectives
Voices in a Crowd: Searching for Clusters of Unique Perspectives
Nikolas Vitsakis
Amit Parekh
Ioannis Konstas
305
8
0
19 Jul 2024
What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions
What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions
Liyi Zhang
Michael Y. Li
Thomas Griffiths
Theodore R. Sumers
Jian-Qiao Zhu
Thomas L. Griffiths
278
9
0
06 Jun 2024
Context-Aware Clustering using Large Language Models
Context-Aware Clustering using Large Language Models
Sindhu Tipirneni
Ravinarayana Adkathimar
Nurendra Choudhary
Gaurush Hiranandani
Rana Ali Amjad
V. Ioannidis
Changhe Yuan
Chandan K. Reddy
270
11
0
02 May 2024
A Knowledge-Injected Curriculum Pretraining Framework for Question
  Answering
A Knowledge-Injected Curriculum Pretraining Framework for Question AnsweringThe Web Conference (WWW), 2024
Xin Lin
Tianhuang Su
Zhenya Huang
Shangzi Xue
Haifeng Liu
Enhong Chen
242
3
0
11 Mar 2024
Comparison of Topic Modelling Approaches in the Banking Context
Comparison of Topic Modelling Approaches in the Banking ContextApplied Sciences (Appl. Sci.), 2023
Bayode Ogunleye
Tonderai Maswera
Laurence Hirsch
J. Gaudoin
T. Brunsdon
AI4TS
237
56
0
05 Feb 2024
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup
  Identification
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup IdentificationACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024
Seungyeon Lee
Ruoqi Liu
Wenyu Song
Lang Li
Ping Zhang
CML
321
1
0
22 Jan 2024
Deep de Finetti: Recovering Topic Distributions from Large Language
  Models
Deep de Finetti: Recovering Topic Distributions from Large Language Models
Liyi Zhang
R. Thomas McCoy
T. Sumers
Jian-Qiao Zhu
Thomas Griffiths
BDL
280
8
0
21 Dec 2023
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided
  Document Generation
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document GenerationAAAI Conference on Artificial Intelligence (AAAI), 2023
YoungJoon Yoo
Jongwon Choi
BDL
265
8
0
15 Dec 2023
Prompting Large Language Models for Topic Modeling
Prompting Large Language Models for Topic ModelingBigData Congress [Services Society] (BSS), 2023
Han Wang
Nirmalendu Prakash
N. Hoang
Ming Shan Hee
Usman Naseem
Roy Ka-wei Lee
287
59
0
15 Dec 2023
Exploring the evolution of research topics during the COVID-19 pandemic
Exploring the evolution of research topics during the COVID-19 pandemicExpert systems with applications (ESWA), 2023
Francesco Invernici
Anna Bernasconi
S. Ceri
240
10
0
05 Oct 2023
Specious Sites: Tracking the Spread and Sway of Spurious News Stories at
  Scale
Specious Sites: Tracking the Spread and Sway of Spurious News Stories at ScaleIEEE Symposium on Security and Privacy (IEEE S&P), 2023
Hans W. A. Hanley
Deepak Kumar
Zakir Durumeric
472
17
0
03 Aug 2023
Topic-Guided Self-Introduction Generation for Social Media Users
Topic-Guided Self-Introduction Generation for Social Media UsersAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Chunpu Xu
Jing Li
Pijian Li
Min Yang
199
0
0
24 May 2023
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural
  Topic Modeling
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic ModelingInternational Conference on Language Resources and Evaluation (LREC), 2023
Zheng Fang
Yulan He
Rob Procter
329
15
0
16 May 2023
Cone: Unsupervised Contrastive Opinion Extraction
Cone: Unsupervised Contrastive Opinion ExtractionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Runcong Zhao
Lin Gui
Yulan He
SSL
150
2
0
08 May 2023
MEGClass: Extremely Weakly Supervised Text Classification via
  Mutually-Enhancing Text Granularities
MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text GranularitiesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Priyanka Kargupta
Tanay Komarlu
Susik Yoon
Xuan Wang
Jiawei Han
289
11
0
04 Apr 2023
How Do Transformers Learn Topic Structure: Towards a Mechanistic
  Understanding
How Do Transformers Learn Topic Structure: Towards a Mechanistic UnderstandingInternational Conference on Machine Learning (ICML), 2023
Yuchen Li
Yuan-Fang Li
Andrej Risteski
438
86
0
07 Mar 2023
Efficient and Flexible Topic Modeling using Pretrained Embeddings and
  Bag of Sentences
Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of SentencesInternational Conference on Agents and Artificial Intelligence (ICAART), 2023
Johannes Schneider
316
4
0
06 Feb 2023
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of
  Contexts
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of ContextsWeb Search and Data Mining (WSDM), 2022
Yu Zhang
Yunyi Zhang
Martin Michalski
Yucheng Jiang
Yu Meng
Jiawei Han
285
30
0
12 Dec 2022
SEAL : Interactive Tool for Systematic Error Analysis and Labeling
SEAL : Interactive Tool for Systematic Error Analysis and LabelingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Nazneen Rajani
Weixin Liang
Lingjiao Chen
Margaret Mitchell
James Zou
190
17
0
11 Oct 2022
Heterformer: Transformer-based Deep Node Representation Learning on
  Heterogeneous Text-Rich Networks
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich NetworksKnowledge Discovery and Data Mining (KDD), 2022
Sara Szymkuć
Yu Zhang
Qi Zhu
Jiawei Han
275
48
0
20 May 2022
Corpus-based Open-Domain Event Type Induction
Corpus-based Open-Domain Event Type InductionConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Jiaming Shen
Yunyi Zhang
Heng Ji
Jiawei Han
188
32
0
07 Sep 2021
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