maud_cor_permitted_in_response_to_intervening_event
- Task Description: The model must determine whether a Change of Recommendation is permitted in response to an intervening event based on an excerpt from a merger agreement.
- Task Type: Binary classification
- Document Type: merger agreement
- Number of Samples: 101
- Input Length Range: 80-1630 tokens
- Evaluation Metrics: accuracy (maximize), balanced_accuracy (maximize), f1_macro (maximize), f1_micro (maximize), valid_predictions_ratio (maximize)
- Tags: interpretation, merger agreement
- Paper: LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
- Dataset Download: https://hazyresearch.stanford.edu/legalbench/
7 submissions
Rank | Model | accuracy | balanced_accuracy | f1_macro | f1_micro | valid_predictions_ratio | Date | Results |
---|---|---|---|---|---|---|---|---|
1 | meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo | 0.870 | 0.644 | 0.681 | 0.870 | 1.000 | 2025-07-25 | View |
2 | claude-3-haiku-20240307 | 0.850 | 0.531 | 0.518 | 0.850 | 1.000 | 2025-07-25 | View |
3 | claude-3-5-haiku-20241022 | 0.840 | 0.500 | 0.457 | 0.840 | 1.000 | 2025-08-01 | View |
4 | meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo | 0.840 | 0.500 | 0.457 | 0.840 | 1.000 | 2025-08-03 | View |
5 | google/gemma-2-27b-it | 0.840 | 0.500 | 0.457 | 0.840 | 1.000 | 2025-07-24 | View |
6 | gpt-4o-mini | 0.840 | 0.500 | 0.457 | 0.840 | 1.000 | 2025-07-02 | View |
7 | gpt-4.1-nano | 0.840 | 0.500 | 0.457 | 0.840 | 1.000 | 2025-07-03 | View |