🧑‍🔬 Who cites Herbie Bradley

142 citations of their works from 140 papers of our library (of the 149,439 whose bibliographies we read) · 30 with a page here, the most cited first · ← Herbie Bradley

1. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 977 citations
2. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
3. Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsAnnual Meeting of the Association for Computational Linguistics (ACL)Peiyi Wang, Lei Li, Zhihong Shao, et al.2024 · 497 citations
4. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
5. The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryarXiv:2408.06292Chris Lu, Cong Lu, Robert Tjarko Lange, et al.2024 · 372 citations
6. RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Niu, Yuanhao Wu, Juno Zhu, et al.2024 · 207 citations
7. 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
8. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
9. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
10. What's In My Big Data?arXiv:2310.20707Yanai Elazar, Akshita Bhagia, Ian Magnusson, et al.2023 · 92 citations
11. AutoSurvey: Large Language Models Can Automatically Write SurveysConference on Neural Information Processing Systems (NeurIPS)Yidong Wang, Qi Guo, Wenjin Yao, et al.2024 · 91 citations
12. Alignment for HonestyConference on Neural Information Processing Systems (NeurIPS)Yuqing Yang, Ethan Chern, Xipeng Qiu, et al.2023 · 90 citations
13. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
14. 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
15. ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidenceConference on Neural Information Processing Systems (NeurIPS)Kevin Wu, Eric Wu, James Zou2024 · 65 citations
16. Understanding and Mitigating Language Confusion in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Kelly Marchisio, Wei-Yin Ko, Alexandre Berard, et al.2024 · 57 citations
17. ARGS: Alignment as Reward-Guided SearcharXiv:2402.01694Maxim Khanov, Jirayu Burapacheep, Yixuan Li2024 · 46 citations
18. When does In-context Learning Fall Short and Why? A Study on Specification-Heavy TasksarXiv:2311.08993Hao Peng, Xiaozhi Wang, Jianhui Chen, et al.2023 · 42 citations
19. MedArabiQ: Benchmarking Large Language Models on Arabic Medical TasksarXiv:2505.03427Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.2025 · 22 citations
20. MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
21. Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lang Gao, Jiahui Geng, Xiangliang Zhang, et al.2025 · 19 citations
22. In-Context Principle Learning from MistakesarXiv:2402.05403Tianjun Zhang, Aman Madaan, Luyu Gao, et al.2024 · 19 citations
23. STaR-SQL: Self-Taught Reasoner for Text-to-SQLAnnual Meeting of the Association for Computational Linguistics (ACL)Mingqian He, Yongliang Shen, Wenqi Zhang, et al.2025 · 17 citations
24. SelfElicit: Your Language Model Secretly Knows Where is the Relevant EvidenceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, et al.2025 · 11 citations
25. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
26. GemmAr: Enhancing LLMs Through Arabic Instruction-TuningarXiv:2407.02147Hasna Chouikhi, Manel Aloui, Cyrine Ben Hammou, et al.2024 · 4 citations
27. Attention to Non-AdoptersFindings of the Association for Computational LinguisticsKaitlyn Zhou, Kristina Gligorić, Myra Cheng, et al.2026 · 1 citation
28. CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG HallucinationsFindings of the Association for Computational LinguisticsJinWei Shi, Qizhuo Xie, Qianzi Hou, et al.2026
29. GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, et al.2026
30. KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM KnowledgeFindings of the Association for Computational LinguisticsAlex Robertson, Huizhi Liang, Mahbub Gani, et al.2026

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