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Found 3 papers, 2 papers with code
On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling
Hierarchical topic modeling aims to discover latent topics from a corpus and organize them into a hierarchy to understand documents with desirable semantic granularity.
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
Our studies demonstrate that an attacker can manipulate the behavior of large language models by poisoning the demonstration context, without the need for fine-tuning the model.
Towards the TopMost: A Topic Modeling System Toolkit
Topic models have been proposed for decades with various applications and recently refreshed by the neural variational inference.
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