Summary of Simbench: a Rule-based Multi-turn Interaction Benchmark For Evaluating An Llm’s Ability to Generate Digital Twins, by Jingquan Wang et al.
SimBench: A Rule-Based Multi-Turn Interaction Benchmark for Evaluating an LLM’s Ability to Generate Digital Twins
by Jingquan Wang, Harry Zhang, Huzaifa Mustafa Unjhawala, Peter Negrut, Shu Wang, Khailanii Slaton, Radu Serban, Jin-Long Wu, Dan Negrut
First submitted to arxiv on: 21 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 SimBench, a benchmark designed to evaluate the proficiency of student large language models (S-LLMs) in generating digital twins (DTs), enables ranking S-LLMs based on their ability to produce high-quality DTs. By comparing over 20 open- and closed-source S-LLMs, this benchmark demonstrates its effectiveness. SimBench employs a rule-based judge LLM (J-LLM) that assigns scores for DTs generated by S-LLMs using predefined rules and human-in-the-loop guidance. The J-LLM is specific to a simulator, and the proposed benchmarking approach is demonstrated in conjunction with Chrono multi-physics simulator. This benchmark is broadly applicable and enables assessment of an S-LLM’s ability to generate digital twins for other simulation packages. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary SimBench helps machines learn to make perfect copies (digital twins) that can be used in virtual testing simulations. It compares many different student language models to see which ones do best at making these digital twins. The benchmark uses a special judge model to decide how well each language model does, based on rules and human feedback. This new way of evaluating language models is useful for many types of simulations, not just one specific type. |
Keywords
» Artificial intelligence » Language model
