---
title: "Who cites Ryan Liu — 67 papers of our library — Elamur Research"
description: "67 papers of the Elamur Research library cite the works of Ryan Liu, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/ryan-liu/cited-by/"
---
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# Who cites Ryan Liu

67 citations of their works from 67 papers of our library (of the 149,439 whose bibliographies we read) · 34 with a page here, the most cited first · [← Ryan Liu](https://md.research.elamur.ai/free/en/authors/ryan-liu/)

1. **[A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Wayne Xin Zhao, Kun Zhou, Junyi Li, et al.*2023 · 2,875 citations*
2. **[Can large language models provide useful feedback on research papers? A large-scale empirical analysis](https://md.research.elamur.ai/free/en/papers/liang-2023-large-language-models-provide/) [NEJM AI](https://md.research.elamur.ai/free/en/venues/nejm-ai/)**Weixin Liang, Yuhui Zhang, Hancheng Cao, et al.*2023 · 332 citations*
3. [**Challenges and Applications of Large Language Models arXiv:2307.10169**Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.*2023 · 301 citations*](https://md.research.elamur.ai/free/en/papers/kaddour-2023-challenges-applications-large-language-models/)
4. [**Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews arXiv:2403.07183**Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.*2024 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-monitoring-ai-modified-content/)
5. [**Mapping the Increasing Use of LLMs in Scientific Papers arXiv:2404.01268**Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.*2024 · 89 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-mapping-increasing-use-llms/)
6. [**MARG: Multi-Agent Review Generation for Scientific Papers arXiv:2401.04259**Mike D'Arcy, Tom Hope, Larry Birnbaum, et al.*2024 · 76 citations*](https://md.research.elamur.ai/free/en/papers/arcy-2024-marg-multi-agent-review/)
7. **[Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing Tasks](https://md.research.elamur.ai/free/en/papers/zhou-2024-is-llm-reliable-reviewer-comprehensive/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ruiyang Zhou, Lu Chen, Kai Yu*2024 · 74 citations*
8. **[LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing](https://md.research.elamur.ai/free/en/papers/du-2024-llms-assist-nlp-researchers-critique/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiangshu Du, Yibo Wang, Wenting Zhao, et al.*2024 · 71 citations*
9. [**CycleResearcher: Improving Automated Research via Automated Review arXiv:2411.00816**Yixuan Weng, Minjun Zhu, Guangsheng Bao, et al.*2024 · 65 citations*](https://md.research.elamur.ai/free/en/papers/weng-2024-cycleresearcher-improving-automated-research/)
10. **[From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery](https://md.research.elamur.ai/free/en/papers/zheng-2025-automation-autonomy-survey-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianshi Zheng, Zheye Deng, Hong Ting Tsang, et al.*2025 · 39 citations*
11. [**LLM4SR: A Survey on Large Language Models for Scientific Research arXiv:2501.04306**Ziming Luo, Zonglin Yang, Zexin Xu, et al.*2025 · 39 citations*](https://md.research.elamur.ai/free/en/papers/luo-2025-llm4sr-survey-large-language/)
12. [**Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review arXiv:2412.01708**Rui Ye, Xianghe Pang, Jingyi Chai, et al.*2024 · 35 citations*](https://md.research.elamur.ai/free/en/papers/ye-2024-there-yet-revealing-risks/)
13. [**AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews arXiv:2408.10365**Keith Tyser, Ben Segev, Gaston Longhitano, et al.*2024 · 34 citations*](https://md.research.elamur.ai/free/en/papers/tyser-2024-ai-driven-review-systems/)
14. [**What Can Natural Language Processing Do for Peer Review? arXiv:2405.06563**Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, et al.*2024 · 33 citations*](https://md.research.elamur.ai/free/en/papers/kuznetsov-2024-natural-language-processing-peer/)
15. **[Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments](https://md.research.elamur.ai/free/en/papers/goldberg-2023-peer-reviews-peer-reviews/) [PLoS ONE](https://md.research.elamur.ai/free/en/venues/plos-one/)**Alexander Goldberg, Ivan Stelmakh, Kyunghyun Cho, et al.*2023 · 32 citations*
16. [**Reviewer2: Optimizing Review Generation Through Prompt Generation arXiv:2402.10886**Zhaolin Gao, Kiante Brantley, Thorsten Joachims*2024 · 27 citations*](https://md.research.elamur.ai/free/en/papers/gao-2024-reviewer2-optimizing-review-generation-through/)
17. **[Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation](https://md.research.elamur.ai/free/en/papers/eger-2025-transforming-science-large-language-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Steffen Eger, Yong Cao, Jennifer D'Souza, et al.*2025 · 25 citations*
18. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations*
19. [**Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025 arXiv:2504.09737**Nitya Thakkar, Mert Yuksekgonul, Jake Silberg, et al.*2025 · 21 citations*](https://md.research.elamur.ai/free/en/papers/thakkar-2025-llm-feedback-enhance-review/)
20. **[MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research](https://md.research.elamur.ai/free/en/papers/chen-2025-mlr-bench-evaluating-ai/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hui Chen, Miao Xiong, Yujie Lu, et al.*2025 · 21 citations*
21. [**Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards arXiv:2505.04966**Jaeho Kim, Yunseok Lee, Seulki Lee*2025 · 13 citations*](https://md.research.elamur.ai/free/en/papers/kim-2025-position-ai-conference-peer-review/)
22. **[Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers](https://md.research.elamur.ai/free/en/papers/xu-2025-can-llms-identify-critical-limitations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhijian Xu, Yilun Zhao, Manasi Patwardhan, et al.*2025 · 11 citations*
23. [**The More You Automate, the Less You See: Hidden Pitfalls of AI Scientist Systems arXiv:2509.08713**Ziming Luo, Atoosa Kasirzadeh, Nihar B. Shah*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/luo-2025-more-automate-less-see/)
24. [**Reproducibility in Machine Learning-Driven Research arXiv:2307.10320**Harald Semmelrock, Simone Kopeinik, Dieter Theiler, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/semmelrock-2023-reproducibility-machine-learning-driven/)
25. [**Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment arXiv:2411.03417**Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2024-usefulness-llms-author-checklist-assistant/)
26. [**REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning arXiv:2505.11718**Pawin Taechoyotin, Daniel Acuna*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/taechoyotin-2025-remor-automated-peer-review-generation/)
27. [**Reviewing Scientific Papers for Critical Problems With Reasoning LLMs: Baseline Approaches and Automatic Evaluation arXiv:2505.23824**Tianmai M. Zhang, Neil F. Abernethy*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-reviewing-scientific-papers-critical-problems/)
28. **[Automatic Reviewers Fail to Detect Faulty Reasoning in Research Papers: A New Counterfactual Evaluation Framework](https://md.research.elamur.ai/free/en/papers/dycke-2026-automatic-reviewers-fail-detect-faulty/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nils Dycke, Iryna Gurevych*2026 · 5 citations*
29. [**Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems arXiv:2505.17968**Jiayi Geng, Howard Chen, Dilip Arumugam, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/geng-2025-large-language-models-reliable/)
30. **[RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation](https://md.research.elamur.ai/free/en/papers/wu-2026-rbtact-rebuttal-as-supervision-actionable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sihong Wu, Yiling Ma, Yilun Zhao, et al.*2026 · 2 citations*
31. [**"Give a Positive Review Only": An Early Investigation Into In-Paper Prompt Injection Attacks and Defenses for AI Reviewers arXiv:2511.01287**Qin Zhou, Zhexin Zhang, Zhi Li, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2025-give-positive-review-only/)
32. **[Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future](https://md.research.elamur.ai/free/en/papers/wu-2026-can-ai-be-good-peer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sihong Wu, Owen Jiang, Yilun Zhao, et al.*2026 · 1 citation*
33. **[PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf](https://md.research.elamur.ai/free/en/papers/liu-2026-papermentor-human-centered-multi-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner, et al.*2026 · 1 citation*
34. **[From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation](https://md.research.elamur.ai/free/en/papers/zheng-2026-isolated-scoring-collaborative-ranking-comparison/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pujun Zheng, Jiacheng Yao, Jinquan Zheng, et al.*2026*

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

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