🧑‍🔬 Who cites Changmao Li

64 citations of their works from 64 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← Changmao Li

1. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsarXiv:2405.20362Varun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 271 citations
2. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
3. A Report on the 2020 Sarcasm Detection Shared TaskWorkshop on Figurative Language ProcessingDebanjan Ghosh, Avijit Vajpayee, Smaranda Muresan2020 · 92 citations
4. Benchmark Data Contamination of Large Language Models: A SurveyarXiv:2406.04244Cheng Xu, Shuhao Guan, Derek Greene, et al.2024 · 85 citations
5. ToMBench: Benchmarking Theory of Mind in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, et al.2024 · 62 citations
6. Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training LabelsarXiv:2406.17633Nicholas Pangakis, Samuel Wolken2024 · 42 citations
7. Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even PerformanceConference on Empirical Methods in Natural Language Processing (EMNLP)Branislav Pecher, Ivan Srba, Maria Bielikova2025 · 24 citations
8. A Survey on Automated Sarcasm Detection on TwitterarXiv:2202.02516Bleau Moores, Vijay Mago2022 · 19 citations
9. Assessing the Cross-linguistic Utility of Abstract Meaning RepresentationShira Wein, Nathan Schneider2024 · 17 citations
10. DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphConference on Neural Information Processing Systems (NeurIPS)Zhehao Zhang, Jiaao Chen, Diyi Yang2024 · 17 citations
11. Lost in Translationese? Reducing Translation Effect Using Abstract Meaning RepresentationShira Wein, Nathan Schneider2024 · 16 citations
12. TripleFact: Defending Data Contamination in the Evaluation of LLM-driven Fake News DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Xu, Nan Yan2025 · 12 citations
13. Survey of Abstract Meaning Representation: Then, Now, FutureBehrooz Mansouri2025 · 8 citations
14. “When Words Fail, Emojis Prevail”: A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic IncongruityAnnual Meeting of the Association for Computational Linguistics (ACL)Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.2023 · 5 citations
15. Computational Sarcasm Analysis on Social Media: A Systematic ReviewarXiv:2209.06170Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.2022 · 4 citations
16. Test of Time: Rethinking Temporal Signal of Benchmark ContaminationAnnual Meeting of the Association for Computational Linguistics (ACL)Terry Jingchen Zhang, Gopal Dev, Ning Wang, et al.2026 · 1 citation
17. Error Exploration for Automatic Abstract Meaning Representation ParsingInternational Conference on Computational SemanticsMaria Boritchev, Johannes Heinecke2023 · 1 citation
18. Are LLM Benchmarks Already Contaminated? A Systematic Review of Contamination Detection MethodsWorkshop on Generation, Evaluation and Metrics (GEM)Erfan Nourbakhsh, Mohammad Sadegh Sirjani, Amir Mousavi, et al.2026

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