maghzal/PathEval
PathEval: A Benchmark for Evaluating Vision-Language Models as Evaluators for Path Planning Overview Despite their promise to perform complex reasoning, large language models (LLMs) have been shown to have limited effectiveness in end-to-end planning. This has inspired an intriguing question: if these models cannot plan well, can they still contribute to the planning framework as a helpful plan evaluator? In this work, we generalize this question to consider LLMs… See the full description on the dataset page: https://huggingface.co/datasets/maghzal/PathEval.
| Author / organization | maghzal |
|---|---|
| License (as declared) | mit |
| Downloads | 271 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 3 March 2025 |
| Last updated at source | 22 March 2025 |
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