🔗 Who cites «Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization»

26 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization»

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. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
3. ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short SummariesarXiv:2304.13620Raian Rahman, Rizvi Hasan, Abdullah Al Farhad, et al.2023 · 30 citations

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/laskar-2022-domain-adaptation-pre-trained-transformers/cited-by/