🧑‍🔬 Who cites Shengnan An

105 citations of their works from 105 papers of our library (of the 149,439 whose bibliographies we read) · 39 with a page here, the most cited first · ← Shengnan An

1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
2. Large Language Models for Mathematical Reasoning: Progresses and ChallengesConference of the European Chapter of the Association for Computational Linguistics (EACL)Janice Ahn, Rishu Verma, Renze Lou, et al.2024 · 280 citations
3. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
4. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
5. Understanding the planning of LLM agents: A surveyarXiv:2402.02716Xu Huang, Weiwen Liu, Xiaolong Chen, et al.2024 · 128 citations
6. V-STaR: Training Verifiers for Self-Taught ReasonersarXiv:2402.06457Arian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.2024 · 114 citations
7. Chain of Agents: Large Language Models Collaborating on Long-Context TasksConference on Neural Information Processing Systems (NeurIPS)Yusen Zhang, Ruoxi Sun, Yanfei Chen, et al.2024 · 104 citations
8. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and SecurityarXiv:2401.05459Yuanchun Li, Hao Wen, Weijun Wang, et al.2024 · 100 citations
9. Make Your LLM Fully Utilize the ContextConference on Neural Information Processing Systems (NeurIPS)Shengnan An, Zexiong Ma, Zeqi Lin, et al.2024 · 97 citations
10. LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive MemoryarXiv:2410.10813Di Wu, Hongwei Wang, Wenhao Yu, et al.2024 · 95 citations
11. How to Train Long-Context Language Models (Effectively)Annual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 89 citations
12. Smaug: Fixing Failure Modes of Preference Optimisation with DPO-PositivearXiv:2402.13228Arka Pal, Deep Karkhanis, Samuel Dooley, et al.2024 · 82 citations
13. Common 7B Language Models Already Possess Strong Math CapabilitiesarXiv:2403.04706Chen Li, Weiqi Wang, Jingcheng Hu, et al.2024 · 79 citations
14. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
15. Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongqi Tong, Dawei Li, Sizhe Wang, et al.2024 · 57 citations
16. Vision-Language Models Can Self-Improve Reasoning via ReflectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kanzhi Cheng, Li YanTao, Fangzhi Xu, et al.2025 · 35 citations
17. CompAct: Compressing Retrieved Documents Actively for Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, et al.2024 · 34 citations
18. LongReward: Improving Long-context Large Language Models with AI FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Jiajie Zhang, Zhongni Hou, Xin Lv, et al.2025 · 21 citations
19. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnarXiv:2407.08348Liang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
20. POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Yifei Wang, Feng Xiong, Yong Wang, et al.2025 · 13 citations
21. CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error ScenariosConference on Empirical Methods in Natural Language Processing (EMNLP)Shiting Huang, Zhen Fang, Zehui Chen, et al.2025 · 12 citations
22. LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jianghao Chen, Junhong Wu, Yangyifan Xu, et al.2025 · 12 citations
23. MDCure: A Scalable Pipeline for Multi-Document Instruction-FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, et al.2025 · 11 citations
24. SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language ModelsarXiv:2408.15565Dian Yu, Baolin Peng, Ye Tian, et al.2024 · 8 citations
25. Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Zikai Xiao, Ziyang Wang, Wen Ma, et al.2025 · 5 citations
26. Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Erxin Yu, Jing Li, Ming Liao, et al.2025 · 5 citations
27. Baichuan Alignment Technical ReportarXiv:2410.14940Mingan Lin, Fan Yang, Yanjun Shen, et al.2024 · 5 citations
28. CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA CapabilityConference on Empirical Methods in Natural Language Processing (EMNLP)Han Peng, Jinhao Jiang, Zican Dong, et al.2025 · 4 citations
29. Attention Basin: Why Contextual Position Matters in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zihao Yi, Zhenqing Ling, Delong Zeng, et al.2026 · 2 citations
30. Mistake Notebook Learning: Batch-Clustered Failures for Training-Free Agent AdaptationFindings of the Association for Computational LinguisticsXuanbo Su, Yingfang Zhang, Hao Luo, et al.2026 · 2 citations
31. Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-ReflectionFindings of the Association for Computational LinguisticsZhuoyang Wu, Xinze Li, Zhenghao Liu, et al.2026 · 1 citation
32. IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Zechen Sun, Yuyang Sun, Zecheng Tang, et al.2026 · 1 citation
33. Can Calibration of Positional Encodings Enhance Long Context Utilization?Findings of the Association for Computational LinguisticsTom Zehle, Matthias Aßenmacher2026
34. Context-Aware Dialectal Arabic Machine Translation with Interactive Region and Register SelectionarXiv:2604.06456Afroza Nowshin, Prithweeraj Acharjee Porag, Haziq Jeelani, et al.2026
35. Data Foundations of Long-Context Language Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Zechen Sun, Yuyang Sun, Zhaochen Su, et al.2026
36. Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL)Tian Xueyun, MingHua Ma, Bingbing Xu, et al.2026
37. LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph RetrievalFindings of the Association for Computational LinguisticsHang Wang, Utkarsh Garg, Reza Davari, et al.2026
38. Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language ModelsFindings of the Association for Computational LinguisticsHyunjong Ok, Jaeho Lee2026
39. QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMsFindings of the Association for Computational LinguisticsTaolin Zhang, Haidong Kang, Dongyang Li, et al.2026

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