A Additional Results
–Neural Information Processing Systems
The acronym dataset is a QA task that requires models to decode financial acronyms. The FinMA7B-full model achieved the highest ROUGE-1 score of 0.12 and the B.1 Why was the datasheet created? B.2 Has the dataset been used already? If so, where are the results so others can compare (e.g., links to published papers)? Y es, the dataset has already been used. It was employed in the FinLLM Share Task during the FinNLP-AgentScen Workshop at IJCAI 2024, known as the FinLLM Challenge.
Neural Information Processing Systems
Feb-17-2026, 10:09:08 GMT
- Country:
- North America
- United States > New York
- Suffolk County > Stony Brook (0.04)
- Canada > Ontario
- Toronto (0.04)
- United States > New York
- Asia
- Taiwan (0.04)
- Middle East > Jordan (0.04)
- China
- Hubei Province > Wuhan (0.04)
- Jiangsu Province > Nanjing (0.04)
- Hong Kong (0.04)
- Guangdong Province > Shenzhen (0.04)
- North America
- Genre:
- Research Report (0.93)
- Industry:
- Law (1.00)
- Information Technology > Security & Privacy (1.00)
- Banking & Finance > Trading (1.00)
- Government (0.93)
- Technology:
- Information Technology
- Security & Privacy (1.00)
- Data Science (1.00)
- Communications (0.94)
- Artificial Intelligence
- Machine Learning (1.00)
- Natural Language
- Large Language Model (0.72)
- Text Processing (0.70)
- Information Extraction (0.48)
- Information Technology