Cover Image

An Iterative Approach to Topic Modelling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wong, Albert, Cheng, Florence Wing Yau, Keung, Ashley, Hercules, Yamileth, Garcia, Mary Alexandra, Lim, Yew-Wei, Pham, Lien
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An AI-powered Bayesian Generative Modeling Approach for Arbitrary Conditional Inference
by: Liu, Qiao, et al.
Published: (2026)

An AI-powered Bayesian generative modeling approach for causal inference in observational studies
by: Liu, Qiao, et al.
Published: (2025)

Out-of-Distribution Generalization for Neural Physics Solvers
by: Wei, Zhao, et al.
Published: (2026)

Multimodal Survival Analysis with Locally Deployable Large Language Models
by: Gögl, Moritz, et al.
Published: (2026)

C3LLM: Conditional Multimodal Content Generation Using Large Language Models
by: Wang, Zixuan, et al.
Published: (2024)

Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models
by: Matijevic, Sara, et al.
Published: (2026)

Evaluating Negative Sampling Approaches for Neural Topic Models
by: Adhya, Suman, et al.
Published: (2025)

RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models
by: Wei, Quan, et al.
Published: (2025)

Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams
by: Granese, Federica, et al.
Published: (2025)

Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training
by: Long, Yunbo, et al.
Published: (2026)

Evolvable Conditional Diffusion
by: Wei, Zhao, et al.
Published: (2025)

A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
by: Wei, Zhao, et al.
Published: (2025)

TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection
by: Luo, Jiamin, et al.
Published: (2024)

Unveiling Disparities in Maternity Care: A Topic Modelling Approach to Analysing Maternity Incident Investigation Reports
by: Cosma, Georgina, et al.
Published: (2024)

Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture -- Bridging Predictive and Generative Self-Supervised Learning
by: Gögl, Moritz, et al.
Published: (2026)

Strategies for Resource Allocation of Two Competing Companies using Genetic Algorithm
by: Cheung, Wing Keung, et al.
Published: (2025)

Comparison of Topic Modelling Approaches in the Banking Context
by: Ogunleye, Bayode, et al.
Published: (2024)

RedTopic: Toward Topic-Diverse Red Teaming of Large Language Models
by: Ding, Jiale, et al.
Published: (2025)

Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
by: Tan, Kim Yong, et al.
Published: (2026)

Industry-Aligned Granular Topic Modeling
by: Moon, Sae Young, et al.
Published: (2026)

Discovering Forbidden Topics in Language Models
by: Rager, Can, et al.
Published: (2025)

Martingale-Consistent Self-Supervised Learning
by: Gögl, Moritz, et al.
Published: (2026)

Understanding the Challenges in Iterative Generative Optimization with LLMs
by: Nie, Allen, et al.
Published: (2026)

Agentopic: A Generative AI Agent Workflow for Explainable Topic Modeling
by: Kok-Shun, Brice Valentin, et al.
Published: (2026)

Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach
by: Zhang, Xinnan, et al.
Published: (2025)

Iterative missing value imputation based on feature importance
by: Guo, Cong, et al.
Published: (2023)

Chain-of-Specificity: An Iteratively Refining Method for Eliciting Knowledge from Large Language Models
by: Wei, Kaiwen, et al.
Published: (2024)

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
by: Li, Zhilong, et al.
Published: (2024)

TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs
by: Wanna, Selma, et al.
Published: (2024)

TopicProphet: Prophesies on Temporal Topic Trends and Stocks
by: Kim, Olivia
Published: (2025)

Implementation of The Future of Drug Discovery: QuantumBased Machine Learning Simulation (QMLS)
by: Zhou, Yifan, et al.
Published: (2023)

DiffETM: Diffusion Process Enhanced Embedded Topic Model
by: Shao, Wei, et al.
Published: (2025)

Probabilistic Dreaming for World Models
by: Wong, Gavin
Published: (2026)

Info-Coevolution: An Efficient Framework for Data Model Coevolution
by: Qin, Ziheng, et al.
Published: (2025)

TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
by: Lyu, Sisuo, et al.
Published: (2026)

Cooperative Knowledge Distillation: A Learner Agnostic Approach
by: Livanos, Michael, et al.
Published: (2024)

Meta-Inverse Physics-Informed Neural Networks for High-Dimensional Ordinary Differential Equations
by: Wei, Zhao, et al.
Published: (2026)

Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
by: Jiang, Xia, et al.
Published: (2026)

Prompt Evolution for Generative AI: A Classifier-Guided Approach
by: Wong, Melvin, et al.
Published: (2023)

Toward Reasoning on the Boundary: A Mixup-based Approach for Graph Anomaly Detection
by: Kim, Hwan, et al.
Published: (2024)