🔗 Who cites «Can we trust the evaluation on ChatGPT?»

35 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «Can we trust the evaluation on ChatGPT?»

1. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
2. Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors PersistConference on Machine Translation (WMT)Marzena Karpinska, Mohit Iyyer2023 · 156 citations
3. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
4. TrueTeacher: Learning Factual Consistency Evaluation with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zorik Gekhman, Jonathan Herzig, Roee Aharoni, et al.2023 · 106 citations
5. GPTEval: A Survey on Assessments of ChatGPT and GPT-4Language Resources and Evaluation Conference (LREC)Rui Mao, Guanyi Chen, Xulang Zhang, et al.2024 · 75 citations
6. Shepherd: A Critic for Language Model GenerationarXiv:2308.04592Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, et al.2023 · 60 citations
7. Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news mediaPLoS ONEMark Mets, Andres Karjus, Indrek Ibrus, et al.2023 · 43 citations
8. AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZInternational Conference on Learning Representations (ICLR)Jonas Belouadi, Anne Lauscher, Steffen Eger2023 · 31 citations
9. Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance ClassificationarXiv:2309.13734Iain J. Cruickshank, Lynnette Hui Xian Ng2023 · 18 citations
10. MGKM at StanceEval2024 Fine-Tuning Large Language Models for Arabic Stance DetectionArabic Natural Language Processing Conference (ArabicNLP)Mamoun Alghaslan, Khaled Almutairy2024 · 7 citations
11. Can a Large Language Model Replace Humans at Rating Lexical Semantic Relations Strength?Computational LinguisticsAndré Fernandes dos Santos, José Paulo Leal2026 · 1 citation
12. Identifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language ModelsFindings of the Association for Computational LinguisticsWenxuan Wang, Yuk-Kit Chan, Zixuan Ling, et al.2026

23 more papers of our library cite it; they have no page here yet.

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