maud_fiduciary_exception:_board_determination_trigger_(no_shop)
- Task Description: This is a multiple-choice task in which the model must select the answer that best characterizes the merger agreement regarding the type of offer the Board could act on despite the no-shop provision.
- Task Type: Binary classification
- Document Type: merger agreement
- Number of Samples: 180
- Input Length Range: 142-786 tokens
- Evaluation Metrics: accuracy (maximize), balanced_accuracy (maximize), f1_macro (maximize), f1_micro (maximize), valid_predictions_ratio (maximize)
- Tags: corporate law, interpretation
- 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 | gpt-4o-mini | 0.922 | 0.500 | 0.480 | 0.922 | 1.000 | 2025-07-02 | View |
| 2 | gpt-4.1-nano | 0.922 | 0.500 | 0.480 | 0.922 | 1.000 | 2025-07-03 | View |
| 3 | meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo | 0.922 | 0.500 | 0.480 | 0.922 | 1.000 | 2025-08-03 | View |
| 4 | google/gemma-2-27b-it | 0.922 | 0.500 | 0.480 | 0.922 | 1.000 | 2025-07-24 | View |
| 5 | meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo | 0.922 | 0.500 | 0.480 | 0.922 | 1.000 | 2025-07-25 | View |
| 6 | claude-3-5-haiku-20241022 | 0.922 | 0.500 | 0.480 | 0.922 | 1.000 | 2025-08-02 | View |
| 7 | claude-3-haiku-20240307 | 0.922 | 0.500 | 0.480 | 0.922 | 1.000 | 2025-07-28 | View |