CausalBench A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models
收藏Zenodo2024-06-17 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.11634925
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资源简介：
CausalBench is a comprehensive benchmark dataset designed to evaluate the causal reasoning capabilities of large language models. The primary uses of this dataset include, but are not limited to:
- Testing the performance of large language models on causal reasoning tasks
- Serving as a benchmark dataset for causal reasoning research
- Improving and developing new causal reasoning algorithms and models
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Zenodo创建时间：
2024-06-13
