🧑‍🔬 Who cites Nick M. Barnes

247 citations of their works from 246 papers of our library (of the 149,439 whose bibliographies we read) · 32 with a page here, the most cited first · ← Nick M. Barnes

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. 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
5. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning AttentionarXiv:2506.13585MiniMax, Aili Chen, Aonian Li, et al.2025 · 66 citations
6. Simple linear attention language models balance the recall-throughput tradeoffarXiv:2402.18668Simran Arora, Sabri Eyuboglu, Michael Zhang, et al.2024 · 59 citations
7. MiniMax-01: Scaling Foundation Models with Lightning AttentionarXiv:2501.08313MiniMax, Aonian Li, Bangwei Gong, et al.2025 · 50 citations
8. TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormerarXiv:2307.14995Zhen Qin, Dong Li, Weigao Sun, et al.2023 · 33 citations
9. Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language ModelsarXiv:2401.04658Zhen Qin, Weigao Sun, Dong Li, et al.2024 · 31 citations
10. Linearizing Large Language ModelsarXiv:2405.06640Jean Mercat, Igor Vasiljevic, Sedrick Keh, et al.2024 · 16 citations
11. 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
12. 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
13. 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
14. 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
15. 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
16. GemmAr: Enhancing LLMs Through Arabic Instruction-TuningarXiv:2407.02147Hasna Chouikhi, Manel Aloui, Cyrine Ben Hammou, et al.2024 · 4 citations
17. 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
18. Attention to Non-AdoptersFindings of the Association for Computational LinguisticsKaitlyn Zhou, Kristina Gligorić, Myra Cheng, et al.2026 · 1 citation
19. 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
20. 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
21. 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
22. 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
23. HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMsFindings of the Association for Computational LinguisticsRu Peng, Tianyu Zhao, Xijun Gu, et al.2026
24. 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
25. 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
26. 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
27. Model-Based Imaginative Planning for Embodied AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Junru Song, Hengzhe Jin, Yucong Huang, et al.2026
28. 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
29. TeachMaster: Generative Teaching via CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuheng Wang, Runde Yang, Lin Wu, et al.2026
30. 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
31. 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
32. 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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