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Found 2 papers, 1 papers with code
ChineseSafe: A Chinese Benchmark for Evaluating Safety in Large Language Models
While previous works have introduced several benchmarks to evaluate the safety risk of LLMs, the community still has a limited understanding of current LLMs' capability to recognize illegal and unsafe content in Chinese contexts.
On the Noise Robustness of In-Context Learning for Text Generation
In this work, we show that, on text generation tasks, noisy annotations significantly hurt the performance of in-context learning.
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