Papers with sampling procedures
Reliability of Topic Modeling (2025.naacl-long)
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| Challenge: | Topic models allow researchers to extract latent factors from text data and use those variables in downstream statistical analyses. |
| Approach: | They propose to use McDonald's as a benchmark to evaluate topic model reliability. |
| Outcome: | The proposed model is based on McDonald's , which provides the best encapsulation of reliability on synthetic and real-world data. |
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs (2025.emnlp-main)
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| Challenge: | Large Language Models (LLMs) have demonstrated remarkable capabilities across domains . but, for challenging tasks, finetuning often requires substantial human annotations - a process that is time-consuming, labor-intensive, and expensive . |
| Approach: | They propose a method that leverages task-diversity as a principle for effective data selection. |
| Outcome: | The proposed method achieves better accuracy than training on the complete dataset (4% increase in MMLU score). |