🔗 Who cites «Black-Box Prompt Optimization: Aligning Large Language Models without Model Training»

46 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «Black-Box Prompt Optimization: Aligning Large Language Models without Model Training»

1. 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
2. ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree SearchConference on Neural Information Processing Systems (NeurIPS)Dan Zhang, Sining Zhoubian, Ziniu Hu, et al.2024 · 200 citations
3. AutoWebGLM: A Large Language Model-based Web Navigating AgentACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Hanyu Lai, Xiao Liu, Iat Long Iong, et al.2024 · 96 citations
4. PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human PreferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaming Ji, Donghai Hong, Borong Zhang, et al.2025 · 83 citations
5. Agent-Pro: Learning to Evolve via Policy-Level Reflection and OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Ke Tang, Hai Wu, et al.2024 · 52 citations
6. A Systematic Survey of Automatic Prompt Optimization TechniquesConference on Empirical Methods in Natural Language Processing (EMNLP)Kiran Ramnath, Kang Zhou, Sheng Guan, et al.2025 · 40 citations
7. FaithLM: Towards Faithful Explanations for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, et al.2026 · 9 citations
8. Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhuo Li, Yuhao Du, Jinpeng Hu, et al.2025 · 9 citations
9. Rethinking Prompt Optimizers: From Prompt Merits to OptimizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Zixiao Zhu, Hanzhang Zhou, Zijian Feng, et al.2026 · 3 citations
10. LLM Prompt Duel Optimizer: Efficient Label-Free Prompt OptimizationFindings of the Association for Computational LinguisticsYuanchen Wu, Saurabh Verma, Justin Lee, et al.2026 · 2 citations
11. promptolution: A Unified, Modular Framework for Prompt OptimizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Tom Zehle, Timo Heiß, Moritz Schlager, et al.2026 · 2 citations
12. When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zafir Shamsi, Nikhil Chekuru, Zachary Guzman, et al.2026

34 more papers of our library cite it; they have no page here yet.

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