Summary of Benchmarking the Capabilities Of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors, by Usman Syed et al.
Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors
by Usman Syed, Ethan Light, Xingang Guo, Huan Zhang, Lianhui Qin, Yanfeng Ouyang, Bin Hu
First submitted to arxiv on: 15 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); 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 abstract explores the capabilities of state-of-the-art large language models (LLMs) such as GPT-4, GPT-4o, Claude 3.5 Sonnet, Claude 3 Opus, Gemini 1.5 Pro, Llama 3, and Llama 3.1 in solving selected undergraduate-level transportation engineering problems. The TransportBench dataset is introduced, which includes a sample of problems on planning, design, management, and control of transportation systems. Human experts evaluate the capabilities of various commercial and open-sourced LLMs, focusing on accuracy, consistency, and reasoning behaviors. The analysis uncovers unique strengths and limitations of each LLM, including the impressive accuracy and inconsistent behaviors of Claude 3.5 Sonnet. This study marks a first step in harnessing artificial general intelligence for complex transportation challenges. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large language models are being tested to see how well they can solve problems in transportation engineering. The researchers created a special dataset with examples of transportation problems, like planning and designing roads. They then used this dataset to test the abilities of different language models. Each model showed its own strengths and weaknesses. For example, one model was really good at solving some problems, but not others. This study is an important first step in using artificial intelligence to help with complex transportation challenges. |
Keywords
» Artificial intelligence » Claude » Gemini » Gpt » Llama
