Mingqi Gao

According to our database, Mingqi Gao authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Are LLM-based Evaluators Confusing NLG Quality Criteria?

Xinyu Hu, Mingqi Gao, Sen Hu, Yang Zhang, Yicheng Chen, Teng Xu, Xiaojun Wan

CoRR, 2024

LLM-based NLG Evaluation: Current Status and Challenges.

Mingqi Gao, Xinyu Hu, Jie Ruan, Xiao Pu, Xiaojun Wan

CoRR, 2024

Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling.

Jie Ruan, Xiao Pu, Mingqi Gao, Xiaojun Wan, Yuesheng Zhu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Summarization is (Almost) Dead.

Xiao Pu, Mingqi Gao, Xiaojun Wan

CoRR, 2023

Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks.

Xiao Pu, Mingqi Gao, Xiaojun Wan

CoRR, 2023

Human-like Summarization Evaluation with ChatGPT.

Mingqi Gao, Jie Ruan, Renliang Sun, Xunjian Yin, Shiping Yang, Xiaojun Wan

CoRR, 2023

Evaluating Factuality in Cross-lingual Summarization.

Mingqi Gao, Wenqing Wang, Xiaojun Wan, Yuemei Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework.

Mingqi Gao, Xiaojun Wan, Jia Su, Zhefeng Wang, Baoxing Huai

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Social Biases in Automatic Evaluation Metrics for NLG.

Mingqi Gao, Xiaojun Wan

CoRR, 2022

DialSummEval: Revisiting Summarization Evaluation for Dialogues.

Mingqi Gao, Xiaojun Wan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022