🧑‍🔬 Who cites Imran Razzak

40 citations of their works from 40 papers of our library (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← Imran Razzak

1. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
2. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
3. OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMsarXiv:2411.14199Akari Asai, Jacqueline He, Rulin Shao, et al.2024 · 62 citations
4. SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific LiteratureConference on Empirical Methods in Natural Language Processing (EMNLP)David Wadden, Kejian Shi, Jacob Morrison, et al.2025 · 27 citations
5. LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationarXiv:2401.17244Yuan Chiang, Elvis Hsieh, Chia-Hong Chou, et al.2024 · 23 citations
6. From Words to Proverbs: Evaluating LLMs Linguistic and Cultural Competence in Saudi Dialects with AbsherarXiv:2507.10216Renad Al-Monef, Hassan Alhuzali, Nora Alturayeif, et al.2025 · 7 citations
7. The Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation FailureInternational Joint Conference on Natural Language Processing (IJCNLP)Niyati Bafna, Tianjian Li, Kenton Murray, et al.2025 · 7 citations
8. A Context-aware Framework for Translation-mediated ConversationsTransactions of the Association for Computational Linguistics (TACL)José Pombal, Sweta Agrawal, Emmanouil Zaranis, et al.2026 · 4 citations
9. How Important is ‘Perfect' English for Machine Translation Prompts?Findings of the Association for Computational LinguisticsPatrícia Schmidtová, Niyati Bafna, Seth Aycock, et al.2026 · 1 citation
10. SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource LanguagesLanguage Resources and Evaluation Conference (LREC)Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher2026 · 1 citation
11. The Hrunting of AI: Where and How to Improve English Dialectal FairnessarXiv:2603.15187Wei Li, Adrian de Wynter2026 · 1 citation
12. EDRAC: Benchmarking Arabic Dialect Reading ComprehensionarXiv:2609.01113Noor Abo Mokh, Kirill Chirkunov, Teresa Lynn, et al.2026
13. LLM Probe: Evaluating LLMs for Low-Resource LanguagesarXiv:2603.29517Hailay Kidu Teklehaymanot, Gebrearegawi Gebremariam, Wolfgang Nejdl2026
14. Uslub at AbjadAuthorID Shared Task: A Comparative Analysis of Traditional Machine Learning and Transformer-Based Models for Authorship Attribution in Arabic and UrduWorkshop on NLP for Languages Using Arabic ScriptShahad Alsuhaibani, Mohamed Alkaoud2026
15. The Need for Robust and Inclusive Benchmarks in Evaluating LLMs on Arabic TextInternational Conference on Natural Language and Speech ProcessingLubana Al Rayes, Ashraf Elnagar2025

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