--- title: "Who cites Topic Classification and Headline — 2 citing papers" description: "2 papers of the Elamur Research library cite «Topic Classification and Headline Generation for Maltese Using a Public News Corpus», found…" canonical: "https://research.elamur.ai/free/en/papers/chaudhary-2024-topic-classification-headline-generation-maltese/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/chaudhary-2024-topic-classification-headline-generation-maltese/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Topic Classification and Headline Generation for…](https://md.research.elamur.ai/free/en/papers/chaudhary-2024-topic-classification-headline-generation-maltese/) / cited by # Who cites «Topic Classification and Headline Generation for Maltese Using a Public News Corpus» 2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Topic Classification and Headline Generation for Maltese Using a Public News Corpus»](https://md.research.elamur.ai/free/en/papers/chaudhary-2024-topic-classification-headline-generation-maltese/) 1. [**MMTEB: Massive Multilingual Text Embedding Benchmark arXiv:2502.13595**Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.*2025 · 103 citations*](https://md.research.elamur.ai/free/en/papers/enevoldsen-2025-mmteb-massive-multilingual-text-embedding/) 2. **[MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLP](https://md.research.elamur.ai/free/en/papers/micallef-2025-melabenchv1-benchmarking-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kurt Micallef, Claudia Borg*2025 · 4 citations* - [← back to](https://md.research.elamur.ai/free/en/papers/chaudhary-2024-topic-classification-headline-generation-maltese/) — Topic Classification and Headline Generation for Maltese Using a Public News Corpus