Who cites «On Decoding Strategies for Neural Text Generators»
- Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLParXiv:2212.14024Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 222 citations
- A Thorough Examination of Decoding Methods in the Era of LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Chufan Shi, Haoran Yang, Deng Cai, et al.2024 · 68 citations
- From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
- Detection and Measurement of Syntactic Templates in Generated TextConference on Empirical Methods in Natural Language Processing (EMNLP)Chantal Shaib, Yanai Elazar, Junyi Jessy Li, et al.2024 · 32 citations
- 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
This page in Markdown → https://md.research.elamur.ai/free/en/papers/wiher-2022-decoding-strategies-neural-text-generators/cited-by/