DEE: Dual-Stage Explainable Evaluation Method for Text Generation

Author:

Zhang Shenyu,Li Yu,Wu Rui,Huang Xiutian,Chen Yongrui,Xu Wenhao,Qi Guilin

Publisher

Springer Nature Singapore

Reference21 articles.

1. Bai, J., Bai, S., Chu, Y., Cui, Z., et al.: Qwen technical report. arXiv (2023)

2. Banerjee, S., Lavie, A.: METEOR: an automatic metric for MT evaluation with improved correlation with human judgments. In: Goldstein, J., Lavie, A., Lin, C., Voss, C.R. (eds.) Proceedings of the Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization@ACL 2005, pp. 65–72 (2005)

3. Chung, H.W., Hou, L., Longpre, S., Zoph, B., et al.: Scaling instruction-finetuned language models. arXiv (2022)

4. Deshpande, A., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K.: Toxicity in chatGPT: analyzing persona-assigned language models. arXiv (2023)

5. Dziri, N., Kamalloo, E., Mathewson, K.W., Zaïane, O.R.: Evaluating coherence in dialogue systems using entailment. In: Burstein, J., Doran, C., Solorio, T. (eds.) NAACL-HLT, pp. 3806–3812 (2019)

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