Summary of The Mystery Of the Pathological Path-star Task For Language Models, by Arvid Frydenlund
The Mystery of the Pathological Path-star Task for Language Models
by Arvid Frydenlund
First submitted to arxiv on: 17 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Machine Learning (cs.LG)
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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 recently introduced path-star task presents a challenge to language models, requiring them to generate arms containing specific target nodes within complex graphs. Despite being simple for humans, the task proves surprisingly difficult for language models, which fail to outperform random baselines. This study investigates the limitations of current language models and proposes potential solutions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research paper introduces a new task called path-star, where language models struggle to generate arms containing specific target nodes within complex graphs. It’s easy for humans, but surprisingly hard for AI! The authors try to figure out why this is happening and what we can do about it. |
