🔗 Who cites «Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves»

50 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · ← back to «Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves»

1. A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and ApplicationsarXiv:2402.07927Pranab Sahoo; Ayush Kumar Singh; Sriparna Saha; Vinija Jain; Samrat Mondal;, Aman Chadha2024 · 375 citations
2. 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
3. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
4. Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsarXiv:2402.14903Aaditya K. Singh, DJ Strouse2024 · 55 citations
5. Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, et al.2025 · 15 citations
6. Aligning Large Language Models via Fully Self-Synthetic DataAnnual Meeting of the Association for Computational Linguistics (ACL)Shangjian Yin, Zhepei Wei, Xinyu Zhu, et al.2026 · 2 citations
7. Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Lei Tang, Wei Zhou, Mohsen Mesgar2026 · 2 citations
8. One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Yixiao Zhou, Dongzhou Cheng, Zhiliang wu, et al.2026 · 2 citations
9. Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Li Zheng, Xin Zhang, Shuyi He, et al.2026
10. Gradient-Guided Multi-Judge Prompt OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)ChenZhuo Zhao, Xinda Wang, Pu Zhao, et al.2026

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

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