Summary of What Are Tools Anyway? a Survey From the Language Model Perspective, by Zhiruo Wang et al.
What Are Tools Anyway? A Survey from the Language Model Perspective
by Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig
First submitted to arxiv on: 18 Mar 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 This paper surveys language model (LM) tools, which are external programs that aid LM performance. While LMs excel at text generation tasks, many works misuse the term “tool” without providing a unified definition. The authors provide a clear definition of tools and conduct a systematic review of LM tooling scenarios and approaches. They measure the efficiency of various tooling methods by analyzing compute requirements and performance gains on different benchmarks. This study highlights challenges and potential future research directions in this field. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine you have a super powerful language model that can create amazing text. But, sometimes it needs help from other programs to make its job easier. These programs are called “tools.” In this paper, researchers looked at how these tools work with language models and what they do well or poorly. They want to understand how these tools can make language models even more powerful and what challenges we still need to solve. |
Keywords
* Artificial intelligence * Language model * Text generation
