We lifted 3 functions out of this paper's own repositories and ran 2 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| alibaba-nlp/cdqa | canonical | 2 of 3 |
| Function | Status | Where it lives |
|---|---|---|
| compute_acc | Ran | alibaba-nlp/cdqa/cdqa_eval.py pointer only (licence: NONE) · get_code("7756c7928a5f4188") |
| process_string | Ran | alibaba-nlp/cdqa/cdqa_eval.py pointer only (licence: NONE) · get_code("23193098026f155d") |
| compute_acc_single | Not yet run | alibaba-nlp/cdqa/cdqa_eval.py pointer only (licence: NONE) · get_code("a208a2b10bcd3ae0") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
How to better evaluate the capabilities of Large Language Models (LLMs) is the focal point and hot topic in current LLMs research. Previous work has noted that due to the extremely high cost of iterative updates of LLMs, they are often unable to answer the latest dynamic questions well. To promote the improvement of Chinese LLMs' ability to answer dynamic questions, in this paper, we introduce CDQA, a Chinese Dynamic QA benchmark containing question-answer pairs related to the latest news on the Chinese Internet. We obtain high-quality data through a pipeline that combines humans and models, and carefully classify the samples according to the frequency of answer changes to facilitate a more fine-grained observation of LLMs' capabilities. We have also evaluated and analyzed mainstream and advanced Chinese LLMs on CDQA. Extensive experiments and valuable insights suggest that our proposed CDQA is challenging and worthy of more further study. We believe that the benchmark we provide will become one of the key data resources for improving LLMs' Chinese question-answering ability in the future.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2402.19248")
get_code_for_paper("2402.19248")
have("2402.19248")
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