🧑‍🔬 Who cites Xinlu Zhang

156 citations of their works from 156 papers of our library (of the 149,439 whose bibliographies we read) · 44 with a page here, the most cited first · ← Xinlu Zhang

1. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language ModelsarXiv:2304.01852 · Meta-Radiology (2023)100,017Yiheng Liu, Tianle Han, Siyuan Ma, et al.2023 · 940 citations
2. Towards Reasoning in Large Language Models: A SurveyFindings of the Association for Computational LinguisticsJie Huang, Kevin Chen-Chuan Chang2023 · 780 citations
3. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsarXiv:2309.12284Longhui Yu, Weisen Jiang, Han Shi, et al.2023 · 565 citations
4. A Categorical Archive of ChatGPT FailuresarXiv:2302.03494Ali Borji2023 · 559 citations
5. ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual LearningFindings of the Association for Computational LinguisticsViet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.2023 · 422 citations
6. A Survey on Model Compression for Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Xunyu Zhu, Jian Li, Yong Liu, et al.2024 · 381 citations
7. Teaching Small Language Models to ReasonAnnual Meeting of the Association for Computational Linguistics (ACL)Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, et al.2023 · 343 citations
8. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesarXiv:2306.13649Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 299 citations
9. Is ChatGPT a Good NLG Evaluator? A Preliminary StudyarXiv:2303.04048Jiaan Wang, Yunlong Liang, Fandong Meng, et al.2023 · 287 citations
10. A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series ModelsarXiv:2303.10420Junjie Ye, Xuanting Chen, Nuo Xu, et al.2023 · 283 citations
11. Measuring Faithfulness in Chain-of-Thought ReasoningarXiv:2307.13702Tamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.2023 · 262 citations
12. Specializing Smaller Language Models towards Multi-Step ReasoningarXiv:2301.12726Yao Fu, Hao Peng, Litu Ou, et al.2023 · 224 citations
13. Distilling Reasoning Capabilities into Smaller Language ModelsFindings of the Association for Computational LinguisticsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 219 citations
14. ChatGPT as a Factual Inconsistency Evaluator for Text SummarizationarXiv:2303.15621Zheheng Luo, Qianqian Xie, Sophia Ananiadou2023 · 161 citations
15. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
16. SCOTT: Self-Consistent Chain-of-Thought DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Peifeng Wang, Zhengyang Wang, Zheng Li, et al.2023 · 146 citations
17. Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive EvaluationarXiv:2304.01746Tao Fang, Shu Yang, Kaixin Lan, et al.2023 · 145 citations
18. Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-StepAnnual Meeting of the Association for Computational Linguistics (ACL)Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.2023 · 140 citations
19. Quiet-STaR: Language models can teach themselves to think before speaking2024 · 122 citations
20. ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction BenchmarkarXiv:2303.13648Haoran Wu, Wenxuan Wang, Yuxuan Wan, et al.2023 · 118 citations
21. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
22. Multi-Step Reasoning with Large Language Models, a SurveyACM Computing SurveysAske Plaat, Annie Wong, Suzan Verberne, et al.2024 · 106 citations
23. On Learning to Summarize with Large Language Models as ReferencesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yixin Liu, Kejian Shi, Katherine He, et al.2024 · 94 citations
24. Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought ReasoningFindings of the Association for Computational LinguisticsDebjit Paul, Robert West, Antoine Bosselut, et al.2024 · 79 citations
25. Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive TasksConference on Neural Information Processing Systems (NeurIPS)Minki Kang, Seanie Lee, Jinheon Baek, et al.2023 · 71 citations
26. Learning From Mistakes Makes LLM Better ReasonerarXiv:2310.20689Shengnan An, Zexiong Ma, Zeqi Lin, et al.2023 · 64 citations
27. SatLM: Satisfiability-Aided Language Models Using Declarative PromptingConference on Neural Information Processing Systems (NeurIPS)Xi Ye, Qiaochu Chen, Isil Dillig, et al.2023 · 62 citations
28. ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style TransferarXiv:2306.07799Dongqi Liu, Vera Demberg2023 · 43 citations
29. Augmented Large Language Models with Parametric Knowledge GuidingarXiv:2305.04757Ziyang Luo, Can Xu, Pu Zhao, et al.2023 · 32 citations
30. The Life Cycle of Knowledge in Big Language Models: A SurveyarXiv:2303.07616 · Machine Intelligence Research. vol. 21, no. 2, pp. 217-238, 2024Boxi Cao, Hongyu Lin, Xianpei Han, et al.2023 · 31 citations
31. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
32. EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error CorrectionProceedings of the AAAI Conference on Artificial IntelligenceJingheng Ye, Shang Qin, Yinghui Li, et al.2024 · 15 citations
33. Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction TaskarXiv:2307.03972Fanyi Qu, Chenming Tang, Yunfang Wu2023 · 15 citations
34. QCRD: Quality-guided Contrastive Rationale Distillation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Wang, Zhaowei Li, Qi Xu, et al.2025 · 13 citations
35. SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language ModelsInternational Conference on Computational Linguistics (COLING)Huanxuan Liao, Shizhu He, Yupu Hao, et al.2025 · 12 citations
36. A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLIFindings of the Association for Computational LinguisticsBeiduo Chen, Siyao Peng, Anna Korhonen, et al.2025 · 9 citations
37. Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-TuningInternational Conference on Computational Linguistics (COLING)Jing Bi, Yuting Wu, Weiwei Xing, et al.2025 · 8 citations
38. LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Pingjun Hong, Beiduo Chen, Siyao Peng, et al.2025 · 8 citations
39. TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge DistillationarXiv:2503.04872Lin Sun, Guangxiang Zhao, Xiaoqi Jian, et al.2025 · 7 citations
40. Preference Learning Unlocks LLMs' Psycho-Counseling SkillsFindings of the Association for Computational LinguisticsMian Zhang, Shaun M. Eack, Zhiyu Chen2026 · 2 citations
41. Deputy: Accelerating Large Language Model Inference with Dynamic Low-Rank SubstitutionFindings of the Association for Computational LinguisticsYuhua Zhou, Shichao Weng, Changhai Zhou, et al.2026 · 1 citation
42. PsychEval: A Multi-Session and Multi-Therapy Benchmark for High-Realism AI Psychological CounselorFindings of the Association for Computational LinguisticsQianjun Pan, Junyi Wang, Jie Zhou, et al.2026 · 1 citation
43. Tailored Emotional LLM-Supporter: Enhancing Cultural SensitivityConference of the European Chapter of the Association for Computational Linguistics (EACL)Chen Cecilia Liu, Hiba Arnaout, Nils Kovačić, et al.2026 · 1 citation
44. NSF-CoT: Neuro-Symbolic Formal Verification of Chain-of-Thought Faithfulness in Contextual Question AnsweringFindings of the Association for Computational LinguisticsVishal Pramanik, Maisha Maliha, Nathaniel D. Bastian, et al.2026

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