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cs.CL2024
Refining Dimensions for Improving Clustering-based Cross-lingual Topic Models
Chia-Hsuan Chang, Tien-Yuan Huang, Yi-Hang Tsai +2
Recent works in clustering-based topic models perform well in monolingual topic identification by introducing a pipeline to cluster the contextualized representations. However, the…
cs.CL2024
LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework
Chia-Hsuan Chang, Jui-Tse Tsai, Yi-Hang Tsai +1
Topic modeling is widely used for uncovering thematic structures within text corpora, yet traditional models often struggle with specificity and coherence in domain-focused applica…
cs.CL2023
On Exploring the Reasoning Capability of Large Language Models with Knowledge Graphs
Pei-Chi Lo, Yi-Hang Tsai, Ee-Peng Lim +1
This paper examines the capacity of LLMs to reason with knowledge graphs using their internal knowledge graph, i.e., the knowledge graph they learned during pre-training. Two resea…