🧑‍🔬 Who cites Hai Wang

260 citations of their works from 260 papers of our library (of the 141,840 whose bibliographies we read) · 43 with a page here, the most cited first · ← Hai Wang

1. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,957 citations
2. Natural Questions: A Benchmark for Question Answering ResearchTransactions of the Association for Computational Linguistics (TACL)Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, et al.2019 · 4,035 citations
3. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Mandar Joshi, Eunsol Choi, Daniel Weld, et al.2017 · 3,213 citations
4. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
5. RACE: Large-scale ReAding Comprehension Dataset From ExaminationsGuokun Lai, Qizhe Xie, Hanxiao Liu, et al.2017 · 1,629 citations
6. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 966 citations
7. The Web as a Knowledge-Base for Answering Complex QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Alon Talmor, Jonathan Berant2018 · 814 citations
8. SearchQA: A New Q&A Dataset Augmented with Context from a Search EnginearXiv:1704.05179Matthew Dunn, Levent Sagun, Mike Higgins, et al.2017 · 547 citations
9. Crowdsourcing Multiple Choice Science QuestionsWorkshop on Noisy User-generated TextJohannes Welbl, Nelson F. Liu, Matt Gardner2017 · 516 citations
10. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular BenchmarksDivyansh Kaushik, Zachary C. Lipton2018 · 361 citations
11. HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTianrui Guan, Fuxiao Liu, Xiyang Wu, et al.2023 · 326 citations
12. Towards Debiasing Fact Verification ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, et al.2019 · 296 citations
13. Constructing Datasets for Multi-hop Reading Comprehension Across DocumentsTransactions of the Association for Computational Linguistics (TACL)Johannes Welbl, Pontus Stenetorp, Sebastian Riedel2018 · 284 citations
14. Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL)Todor Mihaylov, Anette Frank2018 · 260 citations
15. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
16. Dynamically Fused Graph Network for Multi-hop ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lin Qiu, Yunxuan Xiao, Yanru Qu, et al.2019 · 237 citations
17. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyFindings of the Association for Computational LinguisticsLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 236 citations
18. Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Shivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 203 citations
19. Aligning Large Language Models with Human: A SurveyarXiv:2307.12966Yufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 199 citations
20. DuoRC: Towards Complex Language Understanding with Paraphrased Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, et al.2018 · 189 citations
21. What Makes Reading Comprehension Questions Easier?Conference on Empirical Methods in Natural Language Processing (EMNLP)Saku Sugawara, Kentaro Inui, Satoshi Sekine, et al.2018 · 178 citations
22. What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction TuningarXiv:2312.15685Wei Liu, Weihao Zeng, Keqing He, et al.2023 · 174 citations
23. OpenChat: Advancing Open-source Language Models with Mixed-Quality DataarXiv:2309.11235Guan Wang, Sijie Cheng, Xianyuan Zhan, et al.2023 · 172 citations
24. Improving Machine Reading Comprehension with General Reading StrategiesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kai Sun, Dian Yu, Dong Yu, et al.2019 · 172 citations
25. LESS: Selecting Influential Data for Targeted Instruction TuningarXiv:2402.04333Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.2024 · 170 citations
26. Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4Conference on Empirical Methods in Natural Language Processing (EMNLP)Kent K. Chang, Mackenzie Cramer, Sandeep Soni, et al.2023 · 166 citations
27. Question Answering for Privacy Policies: Combining Computational and Legal PerspectivesConference on Empirical Methods in Natural Language Processing (EMNLP)Abhilasha Ravichander, Alan W Black, Shomir Wilson, et al.2019 · 163 citations
28. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningarXiv:2308.12032Ming Li, Yong Zhang, Zhitao Li, et al.2023 · 157 citations
29. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingarXiv:2406.08464Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 144 citations
30. The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningarXiv:2312.01552Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.2023 · 139 citations
31. Self-Alignment with Instruction BacktranslationarXiv:2308.06259Xian Li, Ping Yu, Chunting Zhou, et al.2023 · 131 citations
32. ChID: A Large-scale Chinese IDiom Dataset for Cloze TestAnnual Meeting of the Association for Computational Linguistics (ACL)Chujie Zheng, Minlie Huang, Aixin Sun2019 · 119 citations
33. Survey of Cultural Awareness in Language Models: Text and BeyondComputational LinguisticsSiddhesh Pawar, Junyeong Park, Jiho Jin, et al.2025 · 104 citations
34. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 85 citations
35. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
36. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
37. One-Shot Learning as Instruction Data Prospector for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunshui Li, Binyuan Hui, Xiaobo Xia, et al.2024 · 61 citations
38. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-TuningarXiv:2402.00530Ming Li, Yong Zhang, Shwai He, et al.2024 · 60 citations
39. English Machine Reading Comprehension Datasets: A SurveyDaria Dzendzik, Jennifer Foster, Carl Vogel2021 · 54 citations
40. Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated WorldsIgor Labutov, Bishan Yang, Anusha Prakash, et al.2018 · 17 citations
41. Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and SafetyQian Shen, Fanghua Cao, Min Yao, et al.2026 · 1 citation
42. Parallel Corpus Filtering Based on Semantic Similarity and Surface Dissimilarity for Japanese Text Simplification with LLMsLanguage Resources and Evaluation Conference (LREC)Daisuke Maekawa, Tomoyuki Kajiwara, Takashi Ninomiya2026
43. SmolKalam: Ensemble Quality-Filtered Translation at Scale for High Quality Arabic Post-Training DataarXiv:2511.18411Sultan Alrashed, Chadi Helwe, Francesco Orabona2025

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