Christian Heumann

The quality of text generated by large language models depends critically on the decoding sampling strategy. While mainstream methods such as Top- k , Top- p , and Min- p achieve a balance between diversity and accuracy through probability-space truncation, they share an inherent limitation: extr...

Imbalanced data are commonly present in real-world applications. While data synthesis can effectively mitigate data scarcity for rare classes, and LLMs have revolutionized text generation, the application of LLMs to the synthesis of relational/structured tabular data remains underexplored. Moreov...