Co-occurring keywords · papers mentioning both
Papers
Continual Neural Topic Model
EACL 2026
NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation
AAAI 2026
Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics
EMNLP 2025
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
ICML 2025
From Keyterms to Context: Exploring Topic Description Generation in Scientific Corpora
EMNLP 2025
Interpreting Topic Models in Byte-Pair Encoding Space
COLING 2025
Large Language Models Struggle to Describe the Haystack without Human Help: A Social Science-Inspired Evaluation of Topic Models
ACL 2025
Mining the Past: A Comparative Study of Classical and Neural Topic Models on Historical Newspaper Archives
NAACL 2025
Provable unlearning in topic modeling and downstream tasks
ICLR 2025
ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
ACL 2025
Refining Dimensions for Improving Clustering-based Cross-lingual Topic Models
COLING 2025
Reliability of Topic Modeling
NAACL 2025
Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations
NAACL 2025
Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs
ICML 2025
A Contemporary News Corpus of Ukrainian (CNC-UA): Compilation, Annotation, Publication
COLING 2024
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments
EMNLP 2024
Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria
JMLR 2024
Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation
ACL 2024
Continuous Relational Diffusion Driven Topic Model with Multi-grained Text for Microblog
COLING 2024
Detecting Machine-Generated Long-Form Content with Latent-Space Variables
EMNLP 2024
Evaluating Topic Model on Asymmetric and Multi-Domain Financial Corpus
COLING 2024
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
NeurIPS 2024
It is a Truth Individually Acknowledged: Cross-references On Demand
EMNLP 2024
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling
COLING 2024
Learning Adverbs with Spectral Mixture Kernels
ACL 2024