Mingqi Gao

Orcid: 0009-0002-6227-3402

Affiliations:
  • Peking University, Beijing, China


According to our database1, Mingqi Gao authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation.
CoRR, 2024

Themis: Towards Flexible and Interpretable NLG Evaluation.
CoRR, 2024

LLM-based NLG Evaluation: Current Status and Challenges.
CoRR, 2024

Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability.
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.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Are LLM-based Evaluators Confusing NLG Quality Criteria?
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.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Summarization is (Almost) Dead.
CoRR, 2023

Human-like Summarization Evaluation with ChatGPT.
CoRR, 2023

Evaluating Factuality in Cross-lingual Summarization.
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.
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.
CoRR, 2022

DialSummEval: Revisiting Summarization Evaluation for Dialogues.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022


  Loading...