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Found 4 papers, 1 papers with code
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Recent breakthroughs in large language modeling have facilitated rigorous exploration of their application in diverse tasks related to tabular data modeling, such as prediction, tabular data synthesis, question answering, and table understanding.
DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM
Additionally, by exploiting the power of diffusion model, our framework also provides the capability to do topic based text generation.
S2vNTM: Semi-supervised vMF Neural Topic Modeling
Across a variety of datasets, S2vNTM outperforms existing semi-supervised topic modeling methods in classification accuracy with limited keywords provided.
Universal Representation for Code
Learning from source code usually requires a large amount of labeled data.
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