Summary of Language Models Don’t Learn the Physical Manifestation Of Language, by Bruce W. Lee and Jaehyuk Lim
Language Models Don’t Learn the Physical Manifestation of Language
by Bruce W. Lee, JaeHyuk Lim
First submitted to arxiv on: 17 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
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 paper presents an empirical investigation into the visual-auditory properties of language, arguing that language-only models don’t learn the physical manifestation of language. The study employs a series of tasks, dubbed the H-Test, which highlights a fundamental gap between human linguistic understanding and the sensory-deprived linguistic understanding of Large Language Models (LLMs). Specifically, the authors find that deliberate reasoning, few-shot examples, or even stronger LLMs from the same model family have no significant impact on the performance of the H-Test. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary This study shows that language-only models don’t understand language in the same way humans do. The researchers did a series of tests to see how well these models can understand visual and auditory cues, like pictures and sounds. They found that even if they used more advanced models or gave them more information, it didn’t help them understand language better. |
Keywords
» Artificial intelligence » Few shot