---
title: "Who cites Faiz Ghifari Haznitrama — 88 papers of our library"
description: "88 papers of the Elamur Research library cite the works of Faiz Ghifari Haznitrama, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/faiz-ghifari-haznitrama/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/faiz-ghifari-haznitrama/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Faiz Ghifari Haznitrama](https://md.research.elamur.ai/free/en/authors/faiz-ghifari-haznitrama/) / cited by

# Who cites Faiz Ghifari Haznitrama

93 citations of their works from 88 papers of our library (of the 149,439 whose bibliographies we read) · 33 with a page here, the most cited first · [← Faiz Ghifari Haznitrama](https://md.research.elamur.ai/free/en/authors/faiz-ghifari-haznitrama/)

1. **[BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages](https://md.research.elamur.ai/free/en/papers/myung-2024-blend-benchmark-llms-everyday-knowledge/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Junho Myung, Nayeon Lee, Yi Zhou, et al.*2024 · 152 citations*
2. **[Towards Measuring and Modeling “Culture” in LLMs: A Survey](https://md.research.elamur.ai/free/en/papers/adilazuarda-2024-measuring-modeling-culture-llms-survey/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, et al.*2024 · 102 citations*
3. **[CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies](https://md.research.elamur.ai/free/en/papers/shi-2024-culturebank-online-community-driven-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weiyan Shi, Ryan Li, Yutong Zhang, et al.*2024 · 93 citations*
4. **[Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art](https://md.research.elamur.ai/free/en/papers/liu-2025-culturally-aware-adapted-nlp-taxonomy/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen*2025 · 90 citations*
5. **[IndoCulture: Exploring Geographically Influenced Cultural Commonsense Reasoning Across Eleven Indonesian Provinces](https://md.research.elamur.ai/free/en/papers/koto-2024-indoculture-exploring-geographically-influenced-cultural/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Fajri Koto, Rahmad Mahendra, Nurul Aisyah, et al.*2024 · 53 citations*
6. **[Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models](https://md.research.elamur.ai/free/en/papers/ventura-2025-navigating-cultural-chasms-exploring-unlocking/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Mor Ventura, Eyal Ben-David, Anna Korhonen, et al.*2025 · 25 citations*
7. **[PalmX 2025: The First Shared Task on Benchmarking LLMs on Arabic and Islamic Culture](https://md.research.elamur.ai/free/en/papers/alwajih-2025-palmx-2025-first-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Fakhraddin Alwajih, Abdellah El Mekki, Hamdy Mubarak, et al.*2025 · 23 citations*
8. **[Socially Aware Language Technologies: Perspectives and Practices](https://md.research.elamur.ai/free/en/papers/yang-2025-socially-aware-language-technologies-perspectives/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Diyi Yang, Dirk Hovy, David Jurgens, et al.*2025 · 12 citations*
9. **[SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures](https://md.research.elamur.ai/free/en/papers/ousidhoum-2026-semeval-2026-task-7-everyday/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Nedjma Ousidhoum, Junho Myung, Carla Perez-Almendros, et al.*2026 · 11 citations*
10. **[Explainability and Interpretability of Multilingual Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/resck-2025-explainability-interpretability-multilingual-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lucas Resck, Isabelle Augenstein, Anna Korhonen*2025 · 11 citations*
11. **[Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset](https://md.research.elamur.ai/free/en/papers/alwajih-2025-pearl-multimodal-culturally-aware-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fakhraddin Alwajih, Samar M. Magdy, Abdellah El Mekki, et al.*2025 · 11 citations*
12. **[Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards](https://md.research.elamur.ai/free/en/papers/wei-2025-igniting-creative-writing-small-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaolong Wei, Bo Lu, Xingyu Zhang, et al.*2025 · 10 citations*
13. **[DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models' Understanding on Indian Culture](https://md.research.elamur.ai/free/en/papers/maji-2025-drishtikon-multimodal-multilingual-benchmark-testing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Arijit Maji, Raghvendra Kumar, Akash Ghosh, et al.*2025 · 9 citations*
14. **[Culturally-Nuanced Story Generation for Reasoning in Low-Resource Languages: The Case of Javanese and Sundanese](https://md.research.elamur.ai/free/en/papers/pranida-2025-culturally-nuanced-story-generation-reasoning/) [Workshop on Multilingual Representation Learning](https://md.research.elamur.ai/free/en/venues/mrl/)**Salsabila Zahirah Pranida, Rifo Ahmad Genadi, Fajri Koto*2025 · 8 citations*
15. **[Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations](https://md.research.elamur.ai/free/en/papers/seshadri-2026-lost-simulation-llm-simulated-users/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Preethi Seshadri, Samuel Cahyawijaya, Ayomide Odumakinde, et al.*2026 · 5 citations*
16. **[Beyond MCQ: An Open-Ended Arabic Cultural QA Benchmark with Dialect Variants](https://md.research.elamur.ai/free/en/papers/bhatti-2026-beyond-mcq-open-ended-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hunzalah Hassan Bhatti, Firoj Alam*2026 · 3 citations*
17. **[Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for Chatbots](https://md.research.elamur.ai/free/en/papers/finch-2025-finding-voice-exploring-potential-african/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sarah E. Finch, Ellie S. Paek, Ikseon Choi, et al.*2025 · 3 citations*
18. **[BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models](https://md.research.elamur.ai/free/en/papers/tan-2026-blend-vis-benchmarking-multimodal-cultural/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Bryan Chen Zhengyu Tan, Weihua Zheng, Zhengyuan Liu, et al.*2026 · 2 citations*
19. **[Finding Culture-Sensitive Neurons in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2026-finding-culture-sensitive-neurons-vision/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xiutian Zhao, Rochelle Choenni, Rohit Saxena, et al.*2026 · 2 citations*
20. **[The Unintended Trade-off of AI Alignment: Balancing Hallucination Mitigation and Safety in LLMs](https://md.research.elamur.ai/free/en/papers/mahmoud-2026-unintended-trade-off-ai-alignment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Omar Mahmoud, Ali Khalil, Thommen George Karimpanal, et al.*2026 · 2 citations*
21. **[Cultura-Arabica: Probing and Enhancing Arabic Cultural Awareness in Large Language Models via LoRA](https://md.research.elamur.ai/free/en/papers/chatwal-2025-cultura-arabica-probing-enhancing-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Pulkit Chatwal, Santosh Kumar Mishra*2025 · 2 citations*
22. **[Star at PalmX 2025: Arabic Cultural Understanding via Targeted Pretraining and Lightweight Fine-tuning](https://md.research.elamur.ai/free/en/papers/elrefai-2025-star-palmx-2025-arabic-cultural/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Eman Elrefai, Esraa Khaled, Alhassan Ehab*2025 · 2 citations*
23. **[Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification](https://md.research.elamur.ai/free/en/papers/pecher-2026-better-as-generators-than-classifiers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Branislav Pecher, Jan Cegin, Robert Belanec, et al.*2026 · 1 citation*
24. **[chengtang at SemEval-2026 Task 7: A Retrieval-Augmented Generation Framework for Cultural Perspective Alignment in Everyday MCQs](https://md.research.elamur.ai/free/en/papers/tang-2026-chengtang-semeval-2026-task-7/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Cheng Tang, Zhichao Meng, Meizhi Jin*2026 · 1 citation*
25. **[LocuPrompt at SemEval-2026 Task 7: A Multilingual Prompting Framework for Cross-Cultural Everyday Knowledge in LLMs](https://md.research.elamur.ai/free/en/papers/ning-2026-locuprompt-semeval-2026-task-7/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Ningjingke Ning*2026 · 1 citation*
26. **[No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural Understanding](https://md.research.elamur.ai/free/en/papers/permadi-2026-no-shortcuts-culture-indonesian-multi/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vynska Amalia Permadi, Xingwei Tan, Nafise Sadat Moosavi, et al.*2026 · 1 citation*
27. [**Adaptive Originality Filtering: Rejection Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle Generation arXiv:2508.18709**Duy Le, Kent Ziti, Evan Girard-Sun, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/le-2025-adaptive-originality-filtering-rejection-based/)
28. **[CultranAI at PalmX 2025: Data Augmentation for Cultural Knowledge Representation](https://md.research.elamur.ai/free/en/papers/bhatti-2025-cultranai-palmx-2025-data-augmentation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Hunzalah Hassan Bhatti, Youssef Ahmed, Md Arid Hasan, et al.*2025 · 1 citation*
29. **[Beyond Monolithic Culture: Evaluating Understandability of Online Text Across Cultural Dimensions](https://md.research.elamur.ai/free/en/papers/pandey-2026-beyond-monolithic-culture-evaluating-understandability/) [Workshop on Cross-Cultural Considerations in NLP](https://md.research.elamur.ai/free/en/venues/c3nlp/)**Saurabh Kumar Pandey, Harshit Gupta, Sougata Saha, et al.*2026*
30. **[Carefully Considering Culture: Analyzing LLM Alignment in Single- and Multi-Cultural Settings using Cultural Consensus Theory](https://md.research.elamur.ai/free/en/papers/pothugunta-2026-carefully-considering-culture-analyzing-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Krishna Pothugunta, John P. Lalor*2026*
31. **[Defining Cultural Capabilities for AI Evaluation: A Taxonomy Grounded in Intercultural Communication Theory](https://md.research.elamur.ai/free/en/papers/nejadgholi-2026-defining-cultural-capabilities-ai-evaluation/) [Workshop on Evaluating Evaluations (EvalEval)](https://md.research.elamur.ai/free/en/venues/evaleval/)**Isar Nejadgholi, Masoud Kianpour, Krishnapriya Vishnubhotla, et al.*2026*
32. **[Mitigating Cultural Bias in LLMs via Multi-Agent Cultural Debate](https://md.research.elamur.ai/free/en/papers/tan-2026-mitigating-cultural-bias-llms-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qian Tan, Lei Jiang, Yuting Zeng, et al.*2026*
33. [**The Role of Dataset Linguistic Structure in the Cultural Awareness of Large Language Models arXiv:2602.01161**Reem I. Masoud, Chen Feng, Shunta Asano, et al.*2026*](https://md.research.elamur.ai/free/en/papers/masoud-2026-role-dataset-linguistic-structure-cultural/)

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

- [← back to](https://md.research.elamur.ai/free/en/authors/faiz-ghifari-haznitrama/) — Faiz Ghifari Haznitrama
