🧑‍🔬 Who cites Shi Qiu

226 citations of their works from 225 papers of our library (of the 149,439 whose bibliographies we read) · 35 with a page here, the most cited first · ← Shi Qiu

1. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
2. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 320 citations
3. Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
4. Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall SpacesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJihan Yang, Shusheng Yang, Anjali W. Gupta, et al.2024 · 182 citations
5. Small Language Models are the Future of Agentic AIarXiv:2506.02153Peter Belcak, Greg Heinrich, Shizhe Diao, et al.2025 · 92 citations
6. LLMs Assist NLP Researchers: Critique Paper (Meta-)ReviewingConference on Empirical Methods in Natural Language Processing (EMNLP)Jiangshu Du, Yibo Wang, Wenting Zhao, et al.2024 · 71 citations
7. UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyan Zhang, Jinman Zhao, Zhifei Yang, et al.2025 · 14 citations
8. Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chongyuan Dai, Jinpeng Hu, Hongchang Shi, et al.2026 · 8 citations
9. Evaluating Arabic Large Language Models: A Survey of Benchmarks, Methods, and GapsarXiv:2510.13430Ahmed Alzubaidi, Shaikha Alsuwaidi, Basma El Amel Boussaha, et al.2025 · 8 citations
10. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanchen Bei, Tianxin Wei, Xuying Ning, et al.2026 · 6 citations
11. ASOS at KSAA-CAD 2024: One Embedding is All You Need for Your DictionaryArabic Natural Language Processing Conference (ArabicNLP)Serry Sibaee, Abdullah Alharbi, Samar Ahmad, et al.2024 · 6 citations
12. A Study of LLMs' Preferences for Libraries and Programming LanguagesFindings of the Association for Computational LinguisticsLukas Twist, Mark Harman, Don Syme, et al.2026 · 5 citations
13. GemmAr: Enhancing LLMs Through Arabic Instruction-TuningarXiv:2407.02147Hasna Chouikhi, Manel Aloui, Cyrine Ben Hammou, et al.2024 · 4 citations
14. Large Means Left: Political Bias in Large Language Models Increases with Their Number of ParametersarXiv:2505.04393David Exler, Mark Schutera, Markus Reischl, et al.2025 · 3 citations
15. Attention to Non-AdoptersFindings of the Association for Computational LinguisticsKaitlyn Zhou, Kristina Gligorić, Myra Cheng, et al.2026 · 1 citation
16. Evaluating Robustness of Large Language Models Against Multilingual Typographical ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL)Raoyuan Zhao, Yihong Liu, Lena Altinger, et al.2026 · 1 citation
17. Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language ModelsFindings of the Association for Computational LinguisticsXudong Wang, Chaoning Zhang, Chenghao Li, et al.2026
18. Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yujia Zheng, Tianhao Li, Haotian Huang, et al.2026
19. Beyond Static Persona Consistency: Dynamic Persona Coherence in LLM Role-PlayingAnnual Meeting of the Association for Computational Linguistics (ACL)Yirui QI, Xiaoming Zhang, Ruilin Zeng, et al.2026
20. Calibrating Inference Time Alignment with Sequence-level Risk AccumulationAnnual Meeting of the Association for Computational Linguistics (ACL)Shanwen Tan, Ziyang Dong, Wei Ju, et al.2026
21. Datasets for Scientific Literature Understanding: A SurveyFindings of the Association for Computational LinguisticsYuanzhe Zhang, Xun Zhao, Maodi Hu, et al.2026
22. ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Hangyeol Yoo, ChangSu Choi, Minjun Kim, et al.2026
23. From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper EvaluationFindings of the Association for Computational LinguisticsPujun Zheng, Jiacheng Yao, Jinquan Zheng, et al.2026
24. HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMsFindings of the Association for Computational LinguisticsRu Peng, Tianyu Zhao, Xijun Gu, et al.2026
25. InfiAgent: An Infinite-Horizon Framework for General-Purpose Autonomous AgentsFindings of the Association for Computational LinguisticsChenglin Yu, Yuchen Wang, Songmiao Wang, et al.2026
26. Linguistically-Informed Evaluation of LLMs on Acceptability Judgments in a Forced-Choice ParadigmAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyue Liu, Nils Reiter2026
27. Machine Translation for Low-Resource Languages through Monolingual Data and LLM: A Case Study of English-to-BasqueConference of the European Chapter of the Association for Computational Linguistics (EACL)Nam Luu, Aitor Soroa, German Rigau, et al.2026
28. MetaBench: A Multi-task Benchmark for Assessing LLMs in MetabolomicsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxing Lu, Xukai Zhao, J. Ben Tamo, et al.2026
29. Model-Based Imaginative Planning for Embodied AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Junru Song, Hengzhe Jin, Yucong Huang, et al.2026
30. Reflective RAG: Self-Evaluation Driven Strategy Optimization in Agentic Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsHaiyan Wu, Chenchen Wang, Chaoqun Sun, et al.2026
31. Social Welfare Function Leaderboard: On the Emergence of LLM Agents as the Welfare DictatorFindings of the Association for Computational LinguisticsZhengliang Shi, Ruotian Ma, Jen-tse Huang, et al.2026
32. TeachMaster: Generative Teaching via CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuheng Wang, Runde Yang, Lin Wu, et al.2026
33. TeamFusion: Supporting Open-ended Teamwork with Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiale Liu, Victor Bursztyn, Lin Ai, et al.2026
34. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM PerformanceFindings of the Association for Computational LinguisticsWilliam Watson, Nicole Cho, Sumitra Ganesh, et al.2026
35. Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)Journal of SoftwareYihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.2025

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