---
title: "Who cites Imran Razzak — 40 papers of our library"
description: "40 papers of the Elamur Research library cite the works of Imran Razzak, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/imran-razzak/cited-by/"
---
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# 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](https://md.research.elamur.ai/free/en/authors/imran-razzak/)

1. [**A Review of Large Language Models and Autonomous Agents in Chemistry arXiv:2407.01603**Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White*2024 · 288 citations*](https://md.research.elamur.ai/free/en/papers/ramos-2024-review-large-language-models-autonomous/)
2. **[A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness](https://md.research.elamur.ai/free/en/papers/wang-2024-comprehensive-survey-small-language-models/) [ACM Transactions on Intelligent Systems and Technology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/)**Fali Wang, Zhiwei Zhang, Xianren Zhang, et al.*2024 · 159 citations*
3. [**OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs arXiv:2411.14199**Akari Asai, Jacqueline He, Rulin Shao, et al.*2024 · 62 citations*](https://md.research.elamur.ai/free/en/papers/asai-2024-openscholar-synthesizing-scientific-literature/)
4. **[SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature](https://md.research.elamur.ai/free/en/papers/wadden-2025-sciriff-resource-enhance-language-model/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 Distillation arXiv:2401.17244**Yuan Chiang, Elvis Hsieh, Chia-Hong Chou, et al.*2024 · 23 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2024-llamp-large-language-model-made/)
6. [**From Words to Proverbs: Evaluating LLMs Linguistic and Cultural Competence in Saudi Dialects with Absher arXiv:2507.10216**Renad Al-Monef, Hassan Alhuzali, Nora Alturayeif, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/al-monef-2025-words-proverbs-evaluating-llms-linguistic/)
7. **[The Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation Failure](https://md.research.elamur.ai/free/en/papers/bafna-2025-translation-barrier-hypothesis-multilingual-generation/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Niyati Bafna, Tianjian Li, Kenton Murray, et al.*2025 · 7 citations*
8. **[A Context-aware Framework for Translation-mediated Conversations](https://md.research.elamur.ai/free/en/papers/pombal-2026-context-aware-framework-translation-mediated/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**José Pombal, Sweta Agrawal, Emmanouil Zaranis, et al.*2026 · 4 citations*
9. **[How Important is ‘Perfect' English for Machine Translation Prompts?](https://md.research.elamur.ai/free/en/papers/schmidtova-2026-how-important-is-perfect-english/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Patrícia Schmidtová, Niyati Bafna, Seth Aycock, et al.*2026 · 1 citation*
10. **[SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/panahi-2026-synthllm-llm-based-scalable-synthetic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher*2026 · 1 citation*
11. [**The Hrunting of AI: Where and How to Improve English Dialectal Fairness arXiv:2603.15187**Wei Li, Adrian de Wynter*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/li-2026-hrunting-ai-where-improve-english/)
12. [**EDRAC: Benchmarking Arabic Dialect Reading Comprehension arXiv:2609.01113**Noor Abo Mokh, Kirill Chirkunov, Teresa Lynn, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mokh-2026-edrac-benchmarking-arabic-dialect-reading/)
13. [**LLM Probe: Evaluating LLMs for Low-Resource Languages arXiv:2603.29517**Hailay Kidu Teklehaymanot, Gebrearegawi Gebremariam, Wolfgang Nejdl*2026*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-llm-probe-evaluating-llms-low/)
14. **[Uslub at AbjadAuthorID Shared Task: A Comparative Analysis of Traditional Machine Learning and Transformer-Based Models for Authorship Attribution in Arabic and Urdu](https://md.research.elamur.ai/free/en/papers/alsuhaibani-2026-uslub-abjadauthorid-shared-task-comparative/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Shahad Alsuhaibani, Mohamed Alkaoud*2026*
15. **[The Need for Robust and Inclusive Benchmarks in Evaluating LLMs on Arabic Text](https://md.research.elamur.ai/free/en/papers/rayes-2025-need-robust-inclusive-benchmarks-evaluating/) [International Conference on Natural Language and Speech Processing](https://md.research.elamur.ai/free/en/venues/icnlsp/)**Lubana Al Rayes, Ashraf Elnagar*2025*

25 more citing papers of our library have no page here yet.

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