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References (68)

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CEMTM: Contextual Embedding-based Multimodal Topic Modeling
2025Amirhossein Abaskohi, Raymond Li et al.
[2]
Small Language Models are the Future of Agentic AI
2025Peter Belcák, Greg Heinrich et al.
[3]
Neural Topic Modeling with Large Language Models in the Loop
2024Xiaohao Yang, He Zhao et al.
[4]
A Survey of Small Language Models
2024C. Nguyen, Xuan Shen et al.
[5]
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs
2024Pritom Saha Akash, Kevin Chen-Chuan Chang
[6]
The Llama 3 Herd of Models
2024Abhimanyu Dubey, Abhinav Jauhri et al.
[7]
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models
2024Xiaohao Yang, He Zhao et al.
[8]
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling
2024Yida Mu, Chunyin Dong et al.
[9]
Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants’ API Invocation Capabilities
2024Honglin Mu, Yang Xu et al.
[10]
TopicGPT: A Prompt-based Topic Modeling Framework
2024Chau Minh Pham, Alexander Miserlis Hoyle et al.
[11]
Towards the TopMost: A Topic Modeling System Toolkit
2023Xiaobao Wu, Fengjun Pan et al.
[12]
Llama 2: Open Foundation and Fine-Tuned Chat Models
2023Hugo Touvron, Louis Martin et al.
[13]
Effective Neural Topic Modeling with Embedding Clustering Regularization
2023Xiaobao Wu, Xinshuai Dong et al.
[14]
Diversity-Aware Coherence Loss for Improving Neural Topic Models
2023Raymond Li, Felipe González-Pizarro et al.
[15]
Contextualized Topic Coherence Metrics
2023Hamed Rahimi, Jacob Louis Hoover et al.
[16]
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling
2023Zheng Fang, Yulan He et al.
[17]
LLaMA: Open and Efficient Foundation Language Models
2023Hugo Touvron, Thibaut Lavril et al.
[18]
Unified Neural Topic Model via Contrastive Learning and Term Weighting
2023Sungwon Han, Mingi Shin et al.
[19]
Are Neural Topic Models Broken?
2022Alexander Miserlis Hoyle, Pranav Goel et al.
[20]
MTEB: Massive Text Embedding Benchmark
2022Niklas Muennighoff, Nouamane Tazi et al.

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