Summary of Modelling Language, by Jumbly Grindrod
Modelling Language
by Jumbly Grindrod
First submitted to arxiv on: 15 Apr 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed research argues for the value of large language models as scientific models of a language, emphasizing their role in understanding language as an external, social entity rather than just cognitive processes. The paper defends this position against criticisms that these models provide no linguistic insights and draws on recent work in philosophy of science to explore how they could serve as scientific models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research shows that big language models can help us understand language better by treating it like a real, social thing rather than just what’s going on in our brains. The study argues against people who say these models don’t give us any new insights into language and looks at how they could be used to model language scientifically. |
