--- title: "Who cites Zi Lin" description: "296 papers of the Elamur Research library cite the works of Zi Lin, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/zi-lin/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zi-lin/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Zi Lin](https://md.research.elamur.ai/free/en/authors/zi-lin/) / cited by # Who cites Zi Lin 303 citations of their works from 296 papers of our library (of the 140 884 whose bibliographies we read) · 19 with a page here, the most cited first · [← Zi Lin](https://md.research.elamur.ai/free/en/authors/zi-lin/) - [A Survey on Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/) — Yupeng Chang, Xu Wang, Jindong Wang, et al. · 2023 · 3 640 citations - [Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations](https://md.research.elamur.ai/free/en/papers/inan-2023-llama-guard-llm-based-input/) — Hakan Inan, Kartikeya Upasani, Jianfeng Chi, et al. · 2023 · 369 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 - [WildChat: 1M ChatGPT Interaction Logs in the Wild](https://md.research.elamur.ai/free/en/papers/zhao-2024-wildchat-1m-chatgpt-interaction-logs/) — Wenting Zhao, Xiang Ren, Jack Hessel, et al. · 2024 · 213 citations - [Improve Mathematical Reasoning in Language Models by Automated Process Supervision](https://md.research.elamur.ai/free/en/papers/luo-2024-improve-mathematical-reasoning-language-models/) — Liangchen Luo, Yinxiao Liu, Rosanne Liu, et al. · 2024 · 163 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 - [Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing](https://md.research.elamur.ai/free/en/papers/xu-2024-magpie-alignment-data-synthesis-scratch/) — Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al. · 2024 · 144 citations - [JudgeLM: Fine-tuned Large Language Models are Scalable Judges](https://md.research.elamur.ai/free/en/papers/zhu-2023-judgelm-fine-tuned-large-language/) — Lianghui Zhu, Xinggang Wang, Xinlong Wang · 2023 · 141 citations - [LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks](https://md.research.elamur.ai/free/en/papers/bavaresco-2024-llms-instead-human-judges-large/) — Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al. · 2024 · 137 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 - [HealthBench: Evaluating Large Language Models Towards Improved Human Health](https://md.research.elamur.ai/free/en/papers/arora-2025-healthbench-evaluating-large-language-models/) — Rahul K. Arora, Jason Wei, Rebecca Soskin Hicks, et al. · 2025 · 115 citations - [SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-salad-bench-hierarchical-comprehensive-safety/) — Lijun Li, Bowen Dong, Ruohui Wang, et al. · 2024 · 114 citations - [Nemotron-4 340B Technical Report](https://md.research.elamur.ai/free/en/papers/adler-2024-nemotron-4-340b-technical-report/) — Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al. · 2024 · 102 citations - [MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/kwan-2024-mt-eval-multi-turn-capabilities/) — Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al. · 2024 · 66 citations - [Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws](https://md.research.elamur.ai/free/en/papers/sardana-2024-chinchilla-optimal-accounting-inference-language/) — Nikhil Sardana, Jacob Portes, Sasha Doubov, et al. · 2024 · 47 citations - [ArabicDialectSafety: A Dialect-Aware Benchmark for Arabic Content Safety Classification](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-arabicdialectsafety-dialect-aware-benchmark-arabic/) — Wajdi Zaghouani, Md. Rafiul Biswas, Kholoud Khalil Aldous, et al. · 2026 · 1 citation - [Detecting Hallucinations in Authentic LLM–Human Interactions](https://md.research.elamur.ai/free/en/papers/ren-2026-detecting-hallucinations-authentic-llm-human/) — Yujie Ren, Niklas Gruhlke, Anne Lauscher · 2026 - [HumaniCA: A Benchmark Resource for the Detection of Users' Ascription of Humanness to Conversational Agents](https://md.research.elamur.ai/free/en/papers/villata-2026-humanica-benchmark-resource-detection-users/) — Sabrina Villata, Amon Rapp, Luigi Di Caro, et al. · 2026 - [Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-Tuning](https://md.research.elamur.ai/free/en/papers/stenlund-2026-synthetic-instruction-generation-low-resource/) — Mathias Stenlund, Annika Simonsen, Lars Bungum, et al. · 2026 277 more citing papers of our library have no page here yet.