Papers by Yalong Wen
Benchmarking Large Language Models on CFLUE - A Chinese Financial Language Understanding Evaluation Dataset (2024.findings-acl)
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| Challenge: | Recent advances in large language models have revolutionized natural language processing (NLP) there is an urgent need for new benchmarks to keep pace with the development of LLMs. |
| Approach: | They propose a benchmark to assess the capability of large language models (LLMs) they use a dataset to provide both knowledge assessment and application assessment . |
| Outcome: | The proposed benchmark provides datasets tailored for knowledge assessment and application assessment. |
MFinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset (2025.findings-acl)
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| Challenge: | Existing financial benchmarks rely on news articles, earnings reports, or announcements, making it challenging to capture the real-world dynamics of financial meetings. |
| Approach: | They propose a multilingual, multi-sector, and multi-task dataset called MFinMeeting that supports English, Chinese, and Japanese . |
| Outcome: | The proposed benchmark supports English, Chinese, and Japanese, enhancing comprehension of financial discussions in diverse linguistic contexts. |