--- title: "Who cites Hannah Rose Kirk" description: "467 papers of the Elamur Research library cite the works of Hannah Rose Kirk, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/hannah-rose-kirk/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hannah-rose-kirk/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Hannah Rose Kirk](https://md.research.elamur.ai/free/en/authors/hannah-rose-kirk/) / cited by # Who cites Hannah Rose Kirk 502 citations of their works from 467 papers of our library (of the 140 884 whose bibliographies we read) · 23 with a page here, the most cited first · [← Hannah Rose Kirk](https://md.research.elamur.ai/free/en/authors/hannah-rose-kirk/) - [DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deepseek-ai-2025-deepseek-r1-incentivizing-reasoning-capability/) — DeepSeek-AI, Daya Guo, Dejian Yang, et al. · 2025 · 4 593 citations - [OpenAI o1 System Card](https://md.research.elamur.ai/free/en/papers/openai-2024-openai-o1-system-card/) — OpenAI, Aaron Jaech, Adam Kalai, et al. · 2024 · 1 065 citations - [Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2023-summary-chatgpt-related-research-perspective/) — Yiheng Liu, Tianle Han, Siyuan Ma, et al. · 2023 · 936 citations - [Tulu 3: Pushing Frontiers in Open Language Model Post-Training](https://md.research.elamur.ai/free/en/papers/lambert-2024-tulu-3-pushing-frontiers-open/) — Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al. · 2024 · 379 citations - [Tool Learning with Foundation Models](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/) — Yujia Qin, Shengding Hu, Yankai Lin, et al. · 2023 · 376 citations - [Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!](https://md.research.elamur.ai/free/en/papers/qi-2023-fine-tuning-aligned-language-models/) — Xiangyu Qi, Yi Zeng, Tinghao Xie, et al. · 2023 · 331 citations - [JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models](https://md.research.elamur.ai/free/en/papers/chao-2024-jailbreakbench-open-robustness-benchmark-jailbreaking/) — Patrick Chao, Edoardo Debenedetti, Alexander Robey, et al. · 2024 · 273 citations - [LaMP: When Large Language Models Meet Personalization](https://md.research.elamur.ai/free/en/papers/salemi-2024-lamp-when-large-language-models/) — Alireza Salemi, Sheshera Mysore, Michael Bendersky, et al. · 2024 · 239 citations - [LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset](https://md.research.elamur.ai/free/en/papers/zheng-2023-lmsys-chat-1m-large-scale/) — Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al. · 2023 · 235 citations - [XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models](https://md.research.elamur.ai/free/en/papers/rottger-2023-xstest-test-suite-identifying-exaggerated/) — Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al. · 2023 · 227 citations - [TrustLLM: Trustworthiness in Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/) — Yue Huang, Lichao Sun, Haoran Wang, et al. · 2024 · 226 citations - [GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts](https://md.research.elamur.ai/free/en/papers/yu-2023-gptfuzzer-red-teaming-large-language/) — Jiahao Yu, Xingwei Lin, Zheng Yu, et al. · 2023 · 162 citations - [WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs](https://md.research.elamur.ai/free/en/papers/han-2024-wildguard-open-one-stop-moderation/) — Seungju Han, Kavel Rao, Allyson Ettinger, et al. · 2024 · 155 citations - [Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs](https://md.research.elamur.ai/free/en/papers/microsoft-2025-phi-4-mini-technical-report/) — Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al. · 2025 · 145 citations - [Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models](https://md.research.elamur.ai/free/en/papers/rottger-2024-political-compass-or-spinning-arrow/) — Paul Röttger, Valentin Hofmann, Valentina Pyatkin, et al. · 2024 · 134 citations - [OpenThoughts: Data Recipes for Reasoning Models](https://md.research.elamur.ai/free/en/papers/guha-2025-openthoughts-data-recipes-reasoning-models/) — Etash Guha, Ryan Marten, Sedrick Keh, et al. · 2025 · 113 citations - [Olmo 3](https://md.research.elamur.ai/free/en/papers/ettinger-2025-olmo-3/) — Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al. · 2025 · 109 citations - [Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges](https://md.research.elamur.ai/free/en/papers/ma-2025-pragmatics-era-large-language-models/) — Bolei Ma, Yuting Li, Wei Zhou, et al. · 2025 · 49 citations - [Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions](https://md.research.elamur.ai/free/en/papers/atif-2025-sacred-synthetic-evaluating-llm-reliability/) — Farah Atif, Nursultan Askarbekuly, Kareem Darwish, et al. · 2025 · 8 citations - [KZ-SafetyPrompts: A Kazakh Safety Evaluation Prompt Dataset for Large Language Models](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-kz-safetyprompts-kazakh-safety-evaluation/) — Wajdi Zaghouani, Shimaa Amer Ibrahim, Aruzhan Muratbek, et al. · 2026 · 2 citations - [Arabic Safety Alignment as Selective Refusal: An Empirical Study of SFT, DPO, and Guard Calibration](https://md.research.elamur.ai/free/en/papers/zbib-2026-arabic-safety-alignment-selective-refusal/) — Mohamad Zbib, Ammar Mohanna · 2026 - [R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language Models](https://md.research.elamur.ai/free/en/papers/schelb-2026-r-u-psycho-framework-robust/) — Julian Schelb, Orr Borin, David Garcia, et al. · 2026 - [TryggLLM: A Benchmark for Evaluating LLM Safety in Norwegian](https://md.research.elamur.ai/free/en/papers/touileb-2026-tryggllm-benchmark-evaluating-llm-safety/) — Samia Touileb, Truls Pedersen, Isabell Stinessen Haugen · 2026 444 more citing papers of our library have no page here yet.