farshelina/ACL-Bench-Task-Transfer
ACL Bench ACL Bench is a reasoning benchmark developed to evaluate structural task transfer after rule-constrained fine-tuning of large language models. It abstracts structural operations from Dou Dizhu into three reasoning categories: Hierarchy Logic Pattern Recognition Counter Logic Dataset Size 300 multiple-choice questions: 100 Hierarchy Logic 100 Pattern Recognition 100 Counter Logic Project Paper: Rule-Constrained Fine-Tuning and Task… See the full description on the dataset page: https://huggingface.co/datasets/farshelina/ACL-Bench-Task-Transfer.
ACL Bench
ACL Bench is a reasoning benchmark developed to evaluate structural task transfer after rule-constrained fine-tuning of large language models.
It abstracts structural operations from Dou Dizhu into three reasoning categories:
- Hierarchy Logic
- Pattern Recognition
- Counter Logic
Dataset Size
300 multiple-choice questions:
- 100 Hierarchy Logic
- 100 Pattern Recognition
- 100 Counter Logic
Project
Paper: Rule-Constrained Fine-Tuning and Task Transfer in Large Language Models: Behavioral Evaluation and Causal Analysis of Attention Heads
Live Demo
Interactive Demo: https://rule-constrained-task-transfer.streamlit.app/
GitHub Repository: https://github.com/farshelina/rule-constrained-task-transfer
Paper
Coming soon.
