🔗 Who cites «A Thorough Examination of Decoding Methods in the Era of LLMs»

36 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «A Thorough Examination of Decoding Methods in the Era of LLMs»

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. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
3. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
4. Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text GenerationInternational Conference on Computational Linguistics (COLING)Esteban Garces Arias, Meimingwei Li, Christian Heumann, et al.2025 · 12 citations
5. MorphMark: Flexible Adaptive Watermarking for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zongqi Wang, Tianle Gu, Baoyuan Wu, et al.2025 · 12 citations
6. Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxuan Zhou, Margret Keuper, Mario Fritz2025 · 11 citations
7. When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Ammar Khairi, Daniel D'souza, Ye Shen, et al.2025 · 6 citations

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

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