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
Nov-20-2025, 01:42:46 GMT
- Country:
- Asia
- China
- Guangdong Province > Shenzhen (0.04)
- Hong Kong (0.04)
- Hubei Province > Wuhan (0.04)
- Jiangsu Province > Nanjing (0.04)
- Middle East > Jordan (0.04)
- Taiwan (0.04)
- China
- North America
- Canada > Ontario
- Toronto (0.04)
- United States > New York
- Suffolk County > Stony Brook (0.04)
- Canada > Ontario
- Asia
- Genre:
- Research Report (0.93)
- Industry:
- Banking & Finance > Trading (1.00)
- Government (0.93)
- Information Technology > Security & Privacy (1.00)
- Law (1.00)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning (1.00)
- Natural Language
- Information Extraction (0.48)
- Large Language Model (0.72)
- Text Processing (0.70)
- Communications (0.94)
- Data Science (1.00)
- Security & Privacy (1.00)
- Artificial Intelligence
- Information Technology