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About Can Large Language Models Transform Computational Social Science PDF
This document discusses how large language models (LLMs) could transform computational social science (CSS). It provides background on how CSS uses text analysis and annotation to study language and behavior at scale. The authors assess whether LLMs can perform CSS tasks like classification and generation without supervision. They evaluate 13 LLMs on 24 representative CSS benchmarks and find that while LLMs don't outperform fine-tuned models on classification, they achieve fair human agreement. On free-form generation tasks, LLMs often exceed the quality of crowdworkers. The authors conclude LLMs can augment CSS by annotating data and bootstrapping challenging tasks, significantly reducing costs and increasing efficiency.
Detailed Information
| Author: | ['Nabil Abdoun'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 50 |
| Language: | English |
| Format: | |
| Price: | FREE |
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