--- title: "Who cites Rishi Bommasani — page 8" description: "2113 papers of the Elamur Research library cite the works of Rishi Bommasani, found in their bibliographies · page 8 of 8; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/8/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/8/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Rishi Bommasani](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/) / [cited by](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/) / page 8 # Who cites Rishi Bommasani 2 198 citations of their works from 2 113 papers of our library (of the 140 884 whose bibliographies we read) · 196 with a page here, the most cited first · page 8 of 8 · [← Rishi Bommasani](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/) [← prev](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/7/) [1](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/) … [7](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/7/) **8** - [Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for Swedish](https://md.research.elamur.ai/free/en/papers/holmstrom-2023-bridging-resource-gap-exploring-efficacy/) — Oskar Holmström, Jenny Kunz, Marco Kuhlmann · 2023 · 8 citations - [MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and Benchmark](https://md.research.elamur.ai/free/en/papers/abu-2026-daoud-medarabench-large-scale-arabic-medical/) — Mouath Abu-Daoud, Leen Kharouf, Omar El Hajj, et al. · 2026 · 5 citations - [Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only Architectures](https://md.research.elamur.ai/free/en/papers/manna-2026-gender-disambiguation-machine-translation-diagnostic/) — Chiara Manna, Hosein Mohebbi, Afra Alishahi, et al. · 2026 · 3 citations - [Benchmarking Large Language Models for Chinese and Japanese IMEs: Phonetic-to-Character Generation and Textual Error Correction](https://md.research.elamur.ai/free/en/papers/zou-2026-benchmarking-large-language-models-chinese/) — Yuchun Zou, Tedd Lee, Xiaodi Fan, et al. · 2026 · 2 citations - [Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization](https://md.research.elamur.ai/free/en/papers/al-2023-rfooh-fine-tashkeel-finetuning-byte-level/) — Bashar Al-Rfooh, Gheith Abandah, Rami Al-Rfou · 2023 · 2 citations - [Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve Tasks](https://md.research.elamur.ai/free/en/papers/madabushi-2025-construction-grammar-evidence-how-llms/) — Harish Tayyar Madabushi, Claire Bonial · 2025 · 1 citation - [AmazoniaNLP: A Survey of Extreme Low-Resource Languages in the Peruvian-Brazilian Amazon](https://md.research.elamur.ai/free/en/papers/zevallos-2026-amazonianlp-survey-extreme-low-resource/) — Rodolfo Joel Zevallos, Fabrício Carraro, John E. Ortega · 2026 - [From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media](https://md.research.elamur.ai/free/en/papers/ryskina-2026-sunblock-softblock-analyzing-correlates-neology/) — Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, et al. · 2026 - [Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?](https://md.research.elamur.ai/free/en/papers/meyer-2026-headlines-you-won-t-forget/) — Selina Meyer, Magdalena Abel, Michael Roth · 2026 - [How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/) — Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al. · 2026 - [Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus](https://md.research.elamur.ai/free/en/papers/mannion-2026-is-biomedical-specialization-still-worth/) — Aidan Mannion, Cécile Macaire, Armand Violle, et al. · 2026 - [Lost in Translation: Repurposing semantic similarity benchmarks for evaluating lexical-semantic consistency in LLM-based machine translation](https://md.research.elamur.ai/free/en/papers/ye-2026-lost-translation-repurposing-semantic-similarity/) — Quin Ye, Jelke Bloem · 2026 - [On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/) — Weichuan Wang, Mingyang Liu, Chen Ma, et al. · 2026 - [One Word Is Not Enough: Simple Prompts Improve Word Embeddings](https://md.research.elamur.ai/free/en/papers/ranjan-2026-one-word-is-not-enough/) — Rajeev Ranjan · 2026 - [Sentiment Classification of Gaza War Headlines: A Comparative Analysis of Large Language Models and Arabic Fine-Tuned BERT Models](https://md.research.elamur.ai/free/en/papers/eleraqi-2026-sentiment-classification-gaza-war-headlines/) — Amr Eleraqi; Hager H. Mustafa;, Abdul Hadi N. Ahmed · 2026 - [Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human Data](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-cognitive-alignment-large-language-models/) — Wajdi Zaghouani · 2026 - [大模型参数高效微调方法综述: 技术、趋势与挑战 (A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges)](https://md.research.elamur.ai/free/en/papers/tang-2026-parameter-efficient-fine/) — Anda Tang (唐岸达), Zhouchen Lin (林宙辰) · 2026 - [大模型驱动的文本属性图学习研究进展 (Recent Advances in Text-attributed Graph Learning via Large Models)](https://md.research.elamur.ai/free/en/papers/zheng-2026-recent-advances-text/) — Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al. · 2026 - [基于大模型的具身智能系统综述 (Embodied Intelligence Systems Based on Large Models: A Survey)](https://md.research.elamur.ai/free/en/papers/wang-2025-embodied-intelligence-systems/) — Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al. · 2025 - [大语言模型的幻觉问题研究综述 (Survey on Hallucinations in Large Language Models)](https://md.research.elamur.ai/free/en/papers/liu-2024-hallucinations-large-language/) — Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al. · 2024 - [问答ChatGPT之后: 超大预训练模型的机遇和挑战 (Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models)](https://md.research.elamur.ai/free/en/papers/lu-2023-questions-after-chatgpt/) — Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al. · 2023 [← prev](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/7/) [1](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/) … [7](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/7/) **8** 1917 more citing papers of our library have no page here yet.