--- title: "Who cites Agrima Seth — 37 papers of our library" description: "37 papers of the Elamur Research library cite the works of Agrima Seth, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/agrima-seth/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/agrima-seth/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Agrima Seth](https://md.research.elamur.ai/free/en/authors/agrima-seth/) / cited by # Who cites Agrima Seth 37 citations of their works from 37 papers of our library (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← Agrima Seth](https://md.research.elamur.ai/free/en/authors/agrima-seth/) 1. **[Survey of Cultural Awareness in Language Models: Text and Beyond](https://md.research.elamur.ai/free/en/papers/pawar-2025-survey-cultural-awareness-language-models/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Siddhesh Pawar, Junyeong Park, Jiho Jin, et al.*2025 · 106 citations* 2. **[NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models](https://md.research.elamur.ai/free/en/papers/rao-2025-normad-framework-measuring-cultural-adaptability/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Abhinav Rao, Akhila Yerukola, Vishwa Shah, et al.*2025 · 46 citations* 3. **[Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs](https://md.research.elamur.ai/free/en/papers/ceron-2024-beyond-prompt-brittleness-evaluating-reliability/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tanise Ceron, Neele Falk, Ana Barić, et al.*2024 · 46 citations* 4. **[Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception](https://md.research.elamur.ai/free/en/papers/lin-2025-investigating-bias-llm-based-bias/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Luyang Lin, Lingzhi Wang, Jinsong Guo, et al.*2025 · 44 citations* 5. **[Sociodemographic Bias in Language Models: A Survey and Forward Path](https://md.research.elamur.ai/free/en/papers/gupta-2023-sociodemographic-bias-language-models-survey/) [Workshop on Gender Bias in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/gebnlp/)**Vipul Gupta, Pranav Narayanan Venkit, Shomir Wilson, et al.*2023 · 40 citations* 6. **[Culture is Not Trivia: Sociocultural Theory for Cultural NLP](https://md.research.elamur.ai/free/en/papers/zhou-2025-culture-is-not-trivia-sociocultural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Naitian Zhou, David Bamman, Isaac L. Bleaman*2025 · 33 citations* 7. **[On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena](https://md.research.elamur.ai/free/en/papers/naous-2025-origin-cultural-biases-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tarek Naous, Wei Xu*2025 · 15 citations* 8. **[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* 9. **[Evaluating the Effect of Retrieval Augmentation on Social Biases](https://md.research.elamur.ai/free/en/papers/zhang-2026-evaluating-effect-retrieval-augmentation-social/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tianhui Zhang, Yi Zhou, Danushka Bollegala*2026 · 3 citations* 10. **[ArGAN: Arabic Gender, Ability, and Nationality Dataset for Evaluating Biases in Large Language Models](https://md.research.elamur.ai/free/en/papers/aly-2025-argan-arabic-gender-ability-nationality/) [Workshop on Gender Bias in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/gebnlp/)**Ranwa Aly, Yara Allam, Rana Gaber, et al.*2025 · 1 citation* 11. **[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* 12. **[Common to Whom? Regional Cultural Commonsense and LLM Bias in India](https://md.research.elamur.ai/free/en/papers/madhusudan-2026-common-whom-regional-cultural-commonsense/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, et al.*2026* 25 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/agrima-seth/) — Agrima Seth