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OpenCompass Hub
CaLM
CaLM is the first comprehensive benchmark for evaluating the causal reasoning capabilities of language models. The CaLM framework establishes a foundational taxonomy consisting of four modules: causal target, adaptation, metric, and error.
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- Shanghai AI Laboratory
- Benchmark release
- 2024-05-01
- Collected
- 2026-08-18
- Modality
- Not recorded
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 0
This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.