A survey on neural topic models: methods, applications, and challenges
Topic models have been prevalent for decades to discover latent topics and infer topic
proportions of documents in an unsupervised fashion. They have been widely used in …
proportions of documents in an unsupervised fashion. They have been widely used in …
Are LLMs good zero-shot fallacy classifiers?
Fallacies are defective arguments with faulty reasoning. Detecting and classifying them is a
crucial NLP task to prevent misinformation, manipulative claims, and biased decisions …
crucial NLP task to prevent misinformation, manipulative claims, and biased decisions …
MetaPro 2.0: Computational metaphor processing on the effectiveness of anomalous language modeling
Metaphor interpretation is a difficult task in natural language understanding. The
development of relevant techniques in this domain is slow, mostly because of the lack of …
development of relevant techniques in this domain is slow, mostly because of the lack of …
FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm
Topic models have been evolving rapidly over the years, from conventional to recent neural
models. However, existing topic models generally struggle with either effectiveness …
models. However, existing topic models generally struggle with either effectiveness …
Topic Modeling as Multi-Objective Contrastive Optimization
Recent representation learning approaches enhance neural topic models by optimizing the
weighted linear combination of the evidence lower bound (ELBO) of the log-likelihood and …
weighted linear combination of the evidence lower bound (ELBO) of the log-likelihood and …
Bridging insight gaps in topic dependency discovery with a knowledge-inspired topic model
Discovering intricate dependencies between topics in topic modeling is challenging due to
the noisy and incomplete nature of real-world data and the inherent complexity of topic …
the noisy and incomplete nature of real-world data and the inherent complexity of topic …
A Comparative Analysis of Metaphorical Cognition in ChatGPT and Human Minds
ChatGPT represents a significant advancement in the field of Artificial Intelligence (AI),
showcasing the development of a robust AI system capable of multitasking and generating …
showcasing the development of a robust AI system capable of multitasking and generating …
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
Topic models have been evolving rapidly over the years, from conventional to recent neural
models. However, existing topic models generally struggle with either effectiveness …
models. However, existing topic models generally struggle with either effectiveness …
Weak-to-Strong Backdoor Attack for Large Language Models
Despite being widely applied due to their exceptional capabilities, Large Language Models
(LLMs) have been proven to be vulnerable to backdoor attacks. These attacks introduce …
(LLMs) have been proven to be vulnerable to backdoor attacks. These attacks introduce …
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
Dynamic topic models track the evolution of topics in sequential documents, which have
derived various applications like trend analysis and opinion mining. However, existing …
derived various applications like trend analysis and opinion mining. However, existing …