🔗 Who cites «Demystifying Prompts in Language Models via Perplexity Estimation»

109 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← back to «Demystifying Prompts in Language Models via Perplexity Estimation»

1. A Survey on In-context LearningarXiv:2301.00234Qingxiu Dong, Lei Li, Damai Dai, et al.2023 · 978 citations
2. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
3. Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4Conference on Empirical Methods in Natural Language Processing (EMNLP)Kent K. Chang, Mackenzie Cramer, Sandeep Soni, et al.2023 · 169 citations
4. Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttentionUSENIX ATC 2024Bin Gao, Zhuomin He, Puru Sharma, et al.2024 · 105 citations
5. Large Language Model Instruction Following: A Survey of Progresses and ChallengesComputational LinguisticsRenze Lou, Kai Zhang, Wenpeng Yin2024 · 83 citations
6. PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language ModelsarXiv:2402.07867Wei Zou, Runpeng Geng, Binghui Wang, et al.2024 · 80 citations
7. Language models are not naysayers: An analysis of language models on negation benchmarksJoint Conference on Lexical and Computational Semantics (*SEM)Thinh Hung Truong, Timothy Baldwin, Karin Verspoor, et al.2023 · 78 citations
8. Instruction Mining: Instruction Data Selection for Tuning Large Language ModelsarXiv:2307.06290Yihan Cao, Yanbin Kang, Chi Wang, et al.2023 · 74 citations
9. SatLM: Satisfiability-Aided Language Models Using Declarative PromptingConference on Neural Information Processing Systems (NeurIPS)Xi Ye, Qiaochu Chen, Isil Dillig, et al.2023 · 62 citations
10. In-context Learning with Retrieved Demonstrations for Language Models: A SurveyarXiv:2401.11624Man Luo, Xin Xu, Yue Liu, et al.2024 · 54 citations
11. Pushing the Limits of ChatGPT on NLP TasksarXiv:2306.09719Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.2023 · 28 citations
12. AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data FiltersAnnual Meeting of the Association for Computational Linguistics (ACL)Li Lucy, Suchin Gururangan, Luca Soldaini, et al.2024 · 15 citations
13. A Reality Check on Context Utilisation for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, et al.2025 · 13 citations
14. CER: Confidence Enhanced Reasoning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ali Razghandi, Seyed Mohammad Hadi Hosseini, Mahdieh Soleymani Baghshah2025 · 8 citations
15. Incomplete In-context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqiang Wang, Wen Yujia, Yan Xiao, et al.2026 · 2 citations
16. Prompting Instruction-tuned LLMs for Semantic Similarity ValuesLanguage Resources and Evaluation Conference (LREC)Xander Akiko Snelder, Yunchong Huang, Jelke Bloem2026 · 2 citations
17. How Important is ‘Perfect' English for Machine Translation Prompts?Findings of the Association for Computational LinguisticsPatrícia Schmidtová, Niyati Bafna, Seth Aycock, et al.2026 · 1 citation
18. From Fake to Real: Mitigating Out-of-Distribution Bias in In-Context Learning via Feedback Supervision from Large Language ModelsFindings of the Association for Computational LinguisticsRui Song, Yingji Li, Jian Li, et al.2026

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