🧑‍🔬 Who cites Hancheng Cao

244 citations of their works from 205 papers of our library (of the 149,439 whose bibliographies we read) · 57 with a page here, the most cited first · ← Hancheng Cao

1. BloombergGPT: A Large Language Model for FinancearXiv:2303.17564Shijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 618 citations
2. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
3. The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryarXiv:2408.06292Chris Lu, Cong Lu, Robert Tjarko Lange, et al.2024 · 372 citations
4. Can large language models provide useful feedback on research papers? A large-scale empirical analysisarXiv:2310.01783Weixin Liang, Yuhui Zhang, Hancheng Cao, et al.2023 · 332 citations
5. Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt InjectionarXiv:2302.12173Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, et al.2023 · 239 citations
6. Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP ResearchersarXiv:2409.04109Chenglei Si, Diyi Yang, Tatsunori Hashimoto2024 · 196 citations
7. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackarXiv:2309.10691Xingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 141 citations
8. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
9. SOTOPIA: Interactive Evaluation for Social Intelligence in Language AgentsarXiv:2310.11667Xuhui Zhou, Hao Zhu, Leena Mathur, et al.2023 · 138 citations
10. Chain of Hindsight Aligns Language Models with FeedbackarXiv:2302.02676Hao Liu, Carmelo Sferrazza, Pieter Abbeel2023 · 126 citations
11. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer ReviewsarXiv:2403.07183Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.2024 · 119 citations
12. A Critical Evaluation of Evaluations for Long-form Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Fangyuan Xu, Yixiao Song, Mohit Iyyer, et al.2023 · 117 citations
13. GPT detectors are biased against non-native English writersarXiv:2304.02819Weixin Liang, Mert Yuksekgonul, Yining Mao, et al.2023 · 110 citations
14. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 100 citations
15. Mapping the Increasing Use of LLMs in Scientific PapersarXiv:2404.01268Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.2024 · 89 citations
16. AgentReview: Exploring Peer Review Dynamics with LLM AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Yiqiao Jin, Qinlin Zhao, Yiyang Wang, et al.2024 · 86 citations
17. LLMs Get Lost In Multi-Turn ConversationarXiv:2505.06120Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, et al.2025 · 82 citations
18. Does Writing with Language Models Reduce Content Diversity?arXiv:2309.05196Vishakh Padmakumar, He He2023 · 82 citations
19. MARG: Multi-Agent Review Generation for Scientific PapersarXiv:2401.04259Mike D'Arcy, Tom Hope, Larry Birnbaum, et al.2024 · 76 citations
20. Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing TasksLanguage Resources and Evaluation Conference (LREC)Ruiyang Zhou, Lu Chen, Kai Yu2024 · 74 citations
21. LLMs Assist NLP Researchers: Critique Paper (Meta-)ReviewingConference on Empirical Methods in Natural Language Processing (EMNLP)Jiangshu Du, Yibo Wang, Wenting Zhao, et al.2024 · 71 citations
22. MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al.2024 · 67 citations
23. CycleResearcher: Improving Automated Research via Automated ReviewarXiv:2411.00816Yixuan Weng, Minjun Zhu, Guangsheng Bao, et al.2024 · 65 citations
24. Benchmarking Linguistic Diversity of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yanzhu Guo, Guokan Shang, Chloé Clavel2025 · 32 citations
25. Detection and Measurement of Syntactic Templates in Generated TextConference on Empirical Methods in Natural Language Processing (EMNLP)Chantal Shaib, Yanai Elazar, Junyi Jessy Li, et al.2024 · 32 citations
26. Reviewer2: Optimizing Review Generation Through Prompt GenerationarXiv:2402.10886Zhaolin Gao, Kiante Brantley, Thorsten Joachims2024 · 27 citations
27. Do Large Language Models have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhu Guo, Simone Conia, Zelin Zhou, et al.2025 · 25 citations
28. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
29. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
30. Navigating Rifts in Human-LLM Grounding: Study and BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Omar Shaikh, Hussein Mozannar, Gagan Bansal, et al.2025 · 19 citations
31. TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer ReviewConference on Empirical Methods in Natural Language Processing (EMNLP)Yuan Chang, Ziyue Li, Hengyuan Zhang, et al.2025 · 16 citations
32. Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM ReviewsConference on Empirical Methods in Natural Language Processing (EMNLP)Hyungyu Shin, Jingyu Tang, Yoonjoo Lee, et al.2025 · 14 citations
33. Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research PapersAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijian Xu, Yilun Zhao, Manasi Patwardhan, et al.2025 · 11 citations
34. Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 ExperimentarXiv:2411.03417Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, et al.2024 · 10 citations
35. ChatBench: From Static Benchmarks to Human-AI EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Serina Chang, Ashton Anderson, Jake M. Hofman2025 · 9 citations
36. Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer ReviewsFindings of the Association for Computational LinguisticsSai Suresh Macharla Vasu, Ivaxi Sheth, Hui-Po Wang, et al.2026 · 8 citations
37. AI use in American newspapers is widespread, uneven, and rarely disclosedAnnual Meeting of the Association for Computational Linguistics (ACL)Jenna Russell, Marzena Karpinska, Destiny Akinode, et al.2026 · 7 citations
38. Scaling Collaborative Effort with AgentsFindings of the Association for Computational LinguisticsShannon Zejiang Shen, Valerie Chen, Ken Gu, et al.2026 · 7 citations
39. Reviewing Scientific Papers for Critical Problems With Reasoning LLMs: Baseline Approaches and Automatic EvaluationarXiv:2505.23824Tianmai M. Zhang, Neil F. Abernethy2025 · 7 citations
40. The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models TextarXiv:2505.23276Maged S. Al-Shaibani, Moataz Ahmed2025 · 7 citations
41. Automatic Reviewers Fail to Detect Faulty Reasoning in Research Papers: A New Counterfactual Evaluation FrameworkTransactions of the Association for Computational Linguistics (TACL)Nils Dycke, Iryna Gurevych2026 · 5 citations
42. NovBench: Evaluating Large Language Models on Academic Paper Novelty AssessmentFindings of the Association for Computational LinguisticsWenqing Wu, Yi Zhao, Yuzhuo Wang, et al.2026 · 4 citations
43. Exploring the Structure of AI-Induced Language Change in Scientific EnglisharXiv:2506.21817 · The International FLAIRS Conference Proceedings (Vol. 38), 2025Riley Galpin, Bryce Anderson, Tom S. Juzek2025 · 4 citations
44. Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken EnglishProceedings of the AAAI/ACM Conference on AI Ethics and SocietyBryce Anderson, Riley Galpin, Tom S. Juzek2025 · 4 citations
45. Comparing Human and Large Language Model Interpretation of Implicit InformationFindings of the Association for Computational LinguisticsAntonio De Santis, Tommaso Bonetti, Andrea Tocchetti, et al.2026 · 2 citations
46. Language of Thought Shapes Output Diversity in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoyang Xu, Wenxuan Zhang2026 · 2 citations
47. AiraXiv: An AI-Driven Open-Access Platform for Human and AI ScientistsAnnual Meeting of the Association for Computational Linguistics (ACL)Junshu Pan, Panzhong Lu, Yixuan Weng, et al.2026 · 1 citation
48. Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the FutureAnnual Meeting of the Association for Computational Linguistics (ACL)Sihong Wu, Owen Jiang, Yilun Zhao, et al.2026 · 1 citation
49. PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in OverleafAnnual Meeting of the Association for Computational Linguistics (ACL)Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner, et al.2026 · 1 citation
50. SEFL: A Framework for Generating Synthetic Educational Assignment Feedback with LLM AgentsLanguage Resources and Evaluation Conference (LREC)Mike Zhang, Amalie Pernille Dilling, Léon Gondelman, et al.2026 · 1 citation
51. ARAMIS: a web tool integrated with an open-source LLM to support grading undergraduate theses (ARAMIS: Uma ferramenta web integrada com LLM open-source para apoio à correção de TCCs de estudantes de graduação)International Conference on Computational Processing of PortugueseGustavo Campelo de Sousa, Pablo Kauan Martins Timbó, Luiz Zairo Bastos Viana, et al.2026
52. Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of PlausibilityAnnual Meeting of the Association for Computational Linguistics (ACL)Shramay Palta, Peter A. Rankel, Sarah Wiegreffe, et al.2026
53. code-transformed: The Influence of Large Language Models on CodeFindings of the Association for Computational LinguisticsYuliang Xu, Siming Huang, Mingmeng Geng, et al.2026
54. From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper EvaluationFindings of the Association for Computational LinguisticsPujun Zheng, Jiacheng Yao, Jinquan Zheng, et al.2026
55. Preference Optimization for Review Question Generation Improves Writing QualityFindings of the Association for Computational LinguisticsKarun Sharma, Vidushee Vats, Shengzhi LI, et al.2026
56. Reward Modeling for Scientific Writing EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych2026
57. The evolution of linguistic patterns in scientific writing in Portuguese: an analysis with NILC-Metrix (Evolução de Padrões Linguísticos na Escrita Científica em Português: Uma Análise com NILC-Metrix)International Conference on Computational Processing of PortugueseThiago Ruiz Lobo, Claudia Aparecida Martins2026

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