Mingqi Gao

According to our database, Mingqi Gao authored at least 19 papers between 2022 and 2025.

Collaborative distances:

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

2025

Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text.

Junzhe Zhang, Huixuan Zhang, Xinyu Hu, Li Lin, Mingqi Gao, Shi Qiu, Xiaojun Wan

CoRR, June, 2025

Exploring the Multilingual NLG Evaluation Abilities of LLM-Based Evaluators.

Jiayi Chang, Mingqi Gao, Xinyu Hu, Xiaojun Wan

CoRR, March, 2025

Aspect-Guided Multi-Level Perturbation Analysis of Large Language Models in Automated Peer Review.

Jiatao Li, Yanheng Li, Xinyu Hu, Mingqi Gao, Xiaojun Wan

CoRR, February, 2025

Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference.

Mingqi Gao, Yixin Liu, Xinyu Hu, Xiaojun Wan, Jonathan Bragg, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation.

Mingqi Gao, Xinyu Hu, Li Lin, Xiaojun Wan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Towards A "Novel" Benchmark: Evaluating Literary Fiction with Large Language Models.

Wenqing Wang, Mingqi Gao, Xinyu Hu, Xiaojun Wan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability.

Xinyu Hu, Mingqi Gao, Li Lin, Zhenghan Yu, Xiaojun Wan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Themis: Towards Flexible and Interpretable NLG Evaluation.

Xinyu Hu, Li Lin, Mingqi Gao, Xunjian Yin, Xiaojun Wan

CoRR, 2024

LLM-based NLG Evaluation: Current Status and Challenges.

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

CoRR, 2024

Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability.

Xinyu Hu, Li Lin, Mingqi Gao, Xunjian Yin, Xiaojun Wan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Xiao Pu, Mingqi Gao, Xiaojun Wan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Are LLM-based Evaluators Confusing NLG Quality Criteria?

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

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