Benchmark for Detecting Child Pornography in Open Domain Dialogues Using Large Language Models

Author:

Yu Jia1,Huang Zhiwei2,Zhang Lichao3,Lu Yu3,Yan Yuming4,Xiao Zhenyang5,Lan Zhenzhong1

Affiliation:

1. Zhejiang University, Westlake University,Hangzhou,China

2. Zhejiang University,Hangzhou,China

3. Westlake University,Hangzhou,China

4. Scietrain Tech,Hangzhou,China

5. Peking University,Beijing,China

Publisher

IEEE

Reference44 articles.

1. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin,2018

2. HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

3. Pooling in image representation: The visual codeword point of view

4. C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models;Huang,2023

5. LSPD: A Large-Scale Pornographic Dataset for Detection and Classification

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