🔗 Who cites «Why We Need New Evaluation Metrics for NLG»

287 papers of our library cite it (of the 140,884 whose bibliographies we read) · 25 with a page here, the most cited first · ← the paper

1. A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,640 citations
2. HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringZhilin Yang, Peng Qi, Saizheng Zhang, et al.2018 · 3,489 citations
3. MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover DistanceWei Zhao, Maxime Peyrard, Fei Liu, et al.2019 · 822 citations
4. Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 776 citations
5. Towards a Human-like Open-Domain ChatbotDaniel Adiwardana, Minh-Thang Luong, David R. So, et al.2020 · 573 citations
6. A Structured Review of the Validity of BLEUEhud Reiter2018 · 538 citations
7. Automatic Detection of Generated Text is Easiest when Humans are FooledDaphne Ippolito, Daniel Duckworth, Chris Callison-Burch, et al.2019 · 406 citations
8. What makes a good conversation? How controllable attributes affect human judgmentsAbigail See, Stephen Roller, Douwe Kiela, et al.2019 · 369 citations
9. QuestEval: Summarization Asks for Fact-based EvaluationThomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2021 · 353 citations
10. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebateChi-Min Chan, Weize Chen, Yusheng Su, et al.2023 · 351 citations
11. FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive SummarizationEsin Durmus, He He, Mona Diab2020 · 350 citations
12. Reformulating Unsupervised Style Transfer as Paraphrase GenerationKalpesh Krishna, John Wieting, Mohit Iyyer2020 · 348 citations
13. Multi-hop Reading Comprehension through Question Decomposition and RescoringSewon Min, Victor Zhong, Luke Zettlemoyer, et al.2019 · 306 citations
14. Learning to Write with Cooperative DiscriminatorsAri Holtzman, Jan Buys, Maxwell Forbes, et al.2018 · 301 citations
15. Handling Divergent Reference Texts when Evaluating Table-to-Text GenerationBhuwan Dhingra, Manaal Faruqui, Ankur Parikh, et al.2019 · 266 citations
16. Re-evaluating Evaluation in Text SummarizationManik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.2020 · 256 citations
17. MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersKrishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.2021 · 243 citations
18. DART: Open-Domain Structured Data Record to Text GenerationLinyong Nan, Dragomir Radev, Rui Zhang, et al.2020 · 154 citations
19. GLUCOSE: GeneraLized and COntextualized Story ExplanationsNasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, et al.2020 · 144 citations
20. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksYushi Bai, Shangqing Tu, Jiajie Zhang, et al.2024 · 130 citations
21. Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMRJuri Opitz, Anette Frank2021 · 50 citations
22. A Human Evaluation of AMR-to-English Generation SystemsEmma Manning, Shira Wein, Nathan Schneider2020 · 24 citations
23. Evaluating Text Generation from Discourse Representation StructuresChunliu Wang, Rik van Noord, Arianna Bisazza, et al.2021 · 14 citations
24. An Error Analysis Framework for Shallow Surface RealizationAnastasia Shimorina, Yannick Parmentier, Claire Gardent2021 · 8 citations
25. CLASE: A Hybrid Method for Chinese Legalese Stylistic EvaluationYiran Rex Ma, Yuxiao Ye, Huiyuan Xie2026 · 1 citation

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