🧑‍🔬 Who cites Chenhao Tan

251 citations of their works from 244 papers of our library (of the 141,840 whose bibliographies we read) · 28 with a page here, the most cited first · ← Chenhao Tan

1. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
2. Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-CheckingHannah Rashkin, Eunsol Choi, Jin Yea Jang, et al.2017 · 1,074 citations
3. Linguistic Knowledge and Transferability of Contextual RepresentationsNelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.2019 · 1,015 citations
4. A Survey on In-context LearningQingxiu Dong, Lei Li, Damai Dai, et al.2023 · 959 citations
5. Context-Aware Neural Machine Translation Learns Anaphora ResolutionElena Voita, Pavel Serdyukov, Rico Sennrich, et al.2018 · 448 citations
6. Linguistic Models for Analyzing and Detecting Biased LanguageMarta Recasens, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky2013 · 394 citations
7. The Media Frames Corpus: Annotations of Frames Across IssuesDallas Card, Amber E. Boydstun, Justin H. Gross, et al.2015 · 359 citations
8. Learning Dense Representations for Entity RetrievalDaniel Gillick, Sayali Kulkarni, Larry Lansing, et al.2019 · 304 citations
9. Prompting Large Language Model for Machine Translation: A Case StudyBiao Zhang, Barry Haddow, Alexandra Birch2023 · 293 citations
10. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
11. Data-to-text Generation with Entity ModelingRatish Puduppully, Li Dong, Mirella Lapata2019 · 180 citations
12. AlphaEvolve: A coding agent for scientific and algorithmic discoveryAlexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.2025 · 176 citations
13. Neural Models for Reasoning over Multiple Mentions Using CoreferenceBhuwan Dhingra, Qiao Jin, Zhilin Yang, et al.2018 · 147 citations
14. Unified Demonstration Retriever for In-Context LearningXiaonan Li, Kai Lv, Hang Yan, et al.2023 · 144 citations
15. The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningBill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.2023 · 139 citations
16. Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled DataKashun Shum, Shizhe Diao, Tong Zhang2023 · 128 citations
17. Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsZeming Wei, Yifei Wang, Ang Li, et al.2023 · 125 citations
18. Learning to Retrieve In-Context Examples for Large Language ModelsLiang Wang, Nan Yang, Furu Wei2024 · 103 citations
19. Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse RelationsChunkit Chan, Cheng Jiayang, Weiqi Wang, et al.2024 · 92 citations
20. A Survey on Data Selection for Language ModelsAlon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 85 citations
21. Finding Support Examples for In-Context LearningXiaonan Li, Xipeng Qiu2023 · 78 citations
22. Automatic Story Generation: Challenges and AttemptsAmal Alabdulkarim, Siyan Li, Xiangyu Peng2021 · 61 citations
23. VariErr NLI: Separating Annotation Error from Human Label VariationLeon Weber-Genzel, Siyao Peng, Marie-Catherine De Marneffe, et al.2024 · 51 citations
24. A Neural Entity Coreference Resolution ReviewNikolaos Stylianou, Ioannis Vlahavas2019 · 48 citations
25. The Referential Reader: A Recurrent Entity Network for Anaphora ResolutionFei Liu, Luke Zettlemoyer, Jacob Eisenstein2019 · 31 citations
26. Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure AnalysisTomohide Shibata, Sadao Kurohashi2018 · 23 citations
27. A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLIBeiduo Chen, Siyao Peng, Anna Korhonen, et al.2025 · 9 citations
28. Can You Be More Explicit? A Task and Dataset on Explicitations of Implicit MeaningLaura Zeidler, Michael Roth2026

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